ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 15, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description: We seek a talented and motivated Senior AI/ML Data Scientist to pioneer the development and application of cutting-edge machine learning models for computer-aided drug design (CADD) and small molecule discovery. You will be joining a dynamic, cross-disciplinary team of computational scientists, medicinal chemists, and engineers. Your primary focus will be on architecting, training, and deploying sophisticated models to predict molecular properties, generate novel models, and ultimately accelerate our drug discovery pipelines. To be successful in this role, you will need deep expertise in modern machine learning, particularly generative AI (Transformers, Diffusion Models), Graph Neural Networks, and predictive modeling. You will leverage your skills to tackle complex scientific challenges, working with vast and diverse chemical and biological datasets. If you are passionate about applying state-of-the-art AI to solve fundamental challenges in chemistry and are driven to see your work make a real-world impact on discovering new medicines, we'd love to have you join our team. Key Responsibilities: Design, develop, and optimize state-of-the-art generative models (e.g., Transformers, GNNs, Diffusion Models) for robotic tasks synthetic routes. Architect and implement scalable MLOps pipelines for preprocessing large-scale chemical and biological datasets, model training, and rigorous evaluation. Translate cutting-edge research in AI/ML into practical solutions that address critical challenges in our drug discovery projects, such as property prediction (ADMET/QSAR), reaction prediction, and binding affinity prediction. Collaborate closely with computational chemists, medicinal chemists, and software engineers to define project goals, interpret model outputs, and integrate AI-driven insights into our discovery platform. Design and execute robust experiments to evaluate model performance, focusing on chemical validity, novelty, synthesizability, and predictive accuracy against experimental data. Clearly communicate complex technical concepts, model results, and strategic recommendations to both technical and non-technical stakeholders. Stay at the forefront of AI for drug discovery, foundation models for science, and multimodal learning, continuously identifying and championing opportunities to enhance our capabilities. What you'll bring: MSc or PhD with 5+ years of industry or academic experience in Computer Science, Machine Learning, Computational Chemistry/Biology, or a closely related field. Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Deep theoretical and practical knowledge of modern machine learning architectures, including Transformers, Graph Neural Networks (GNNs), and generative models (VAEs, GANs, Diffusion Models) as applied to scientific problems. Proven ability to lead complex AI/ML projects from concept to deployment in a scientific or drug discovery context. Extensive experience working with large-scale molecular datasets (e.g., SMILES, 3D conformations), biological data (e.g., protein sequences, assay data), and other scientific data formats. Experience with efficient model training and fine-tuning techniques, such as LoRA, quantization, distillation, and model pruning. Strong background or hands-on experience applying ML to problems involving protein structures, small molecule interactions, or related biological data. Familiarity with scalable computing environments, GPU acceleration, and distributed training. Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team. A collaborative mindset, strong communication skills, and the ability to work effectively within a cross-disciplinary team. Excellent problem-solving skills and a proactive, can-do attitude. An eagerness to learn new scientific concepts, computational methods, and software engineering practices from experienced mentors. Good understanding of version control with Git. Beneficial Skills: Hands-on experience with cheminformatics toolkits such as RDKit. Experience with Retrieval-Augmented Generation (RAG) systems, including vector databases (e.g., Redis, FAISS, Milvus, Pinecone) for querying large chemical or biological databases. Experience with Protein/DNA language models (e.g., ProtBERT, ESM, Evo) or protein structure prediction models (e.g., AlphaFold-like approaches). Experience with evaluation frameworks for reaction and synthetic route design, including human-in-the-loop assessment and metrics for novelty, diversity, and feasibility of synthetic pathways. Strong experience with relational and non-relational databases (SQL/NoSQL), including data modeling and efficient querying for large-scale AI workflows. A portfolio of projects or open-source contributions (e.g., a GitHub profile) that demonstrates your skills and passion for AI/ML development. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
Apr 15, 2026
Full time
Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical discovery to improve quality of life and extend the reach of humanity. Job Description: We seek a talented and motivated Senior AI/ML Data Scientist to pioneer the development and application of cutting-edge machine learning models for computer-aided drug design (CADD) and small molecule discovery. You will be joining a dynamic, cross-disciplinary team of computational scientists, medicinal chemists, and engineers. Your primary focus will be on architecting, training, and deploying sophisticated models to predict molecular properties, generate novel models, and ultimately accelerate our drug discovery pipelines. To be successful in this role, you will need deep expertise in modern machine learning, particularly generative AI (Transformers, Diffusion Models), Graph Neural Networks, and predictive modeling. You will leverage your skills to tackle complex scientific challenges, working with vast and diverse chemical and biological datasets. If you are passionate about applying state-of-the-art AI to solve fundamental challenges in chemistry and are driven to see your work make a real-world impact on discovering new medicines, we'd love to have you join our team. Key Responsibilities: Design, develop, and optimize state-of-the-art generative models (e.g., Transformers, GNNs, Diffusion Models) for robotic tasks synthetic routes. Architect and implement scalable MLOps pipelines for preprocessing large-scale chemical and biological datasets, model training, and rigorous evaluation. Translate cutting-edge research in AI/ML into practical solutions that address critical challenges in our drug discovery projects, such as property prediction (ADMET/QSAR), reaction prediction, and binding affinity prediction. Collaborate closely with computational chemists, medicinal chemists, and software engineers to define project goals, interpret model outputs, and integrate AI-driven insights into our discovery platform. Design and execute robust experiments to evaluate model performance, focusing on chemical validity, novelty, synthesizability, and predictive accuracy against experimental data. Clearly communicate complex technical concepts, model results, and strategic recommendations to both technical and non-technical stakeholders. Stay at the forefront of AI for drug discovery, foundation models for science, and multimodal learning, continuously identifying and championing opportunities to enhance our capabilities. What you'll bring: MSc or PhD with 5+ years of industry or academic experience in Computer Science, Machine Learning, Computational Chemistry/Biology, or a closely related field. Demonstrated proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Deep theoretical and practical knowledge of modern machine learning architectures, including Transformers, Graph Neural Networks (GNNs), and generative models (VAEs, GANs, Diffusion Models) as applied to scientific problems. Proven ability to lead complex AI/ML projects from concept to deployment in a scientific or drug discovery context. Extensive experience working with large-scale molecular datasets (e.g., SMILES, 3D conformations), biological data (e.g., protein sequences, assay data), and other scientific data formats. Experience with efficient model training and fine-tuning techniques, such as LoRA, quantization, distillation, and model pruning. Strong background or hands-on experience applying ML to problems involving protein structures, small molecule interactions, or related biological data. Familiarity with scalable computing environments, GPU acceleration, and distributed training. Excellent communication and interpersonal skills for effective collaboration in a multidisciplinary team. A collaborative mindset, strong communication skills, and the ability to work effectively within a cross-disciplinary team. Excellent problem-solving skills and a proactive, can-do attitude. An eagerness to learn new scientific concepts, computational methods, and software engineering practices from experienced mentors. Good understanding of version control with Git. Beneficial Skills: Hands-on experience with cheminformatics toolkits such as RDKit. Experience with Retrieval-Augmented Generation (RAG) systems, including vector databases (e.g., Redis, FAISS, Milvus, Pinecone) for querying large chemical or biological databases. Experience with Protein/DNA language models (e.g., ProtBERT, ESM, Evo) or protein structure prediction models (e.g., AlphaFold-like approaches). Experience with evaluation frameworks for reaction and synthetic route design, including human-in-the-loop assessment and metrics for novelty, diversity, and feasibility of synthetic pathways. Strong experience with relational and non-relational databases (SQL/NoSQL), including data modeling and efficient querying for large-scale AI workflows. A portfolio of projects or open-source contributions (e.g., a GitHub profile) that demonstrates your skills and passion for AI/ML development. Advanced Research Centre, University of Glasgow, 11 Chapel Lane, G11 6EW
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.
Apr 15, 2026
Full time
London, United Kingdom; United Kingdom (Remote) At Hudl, we build great teams. We hire the best of the best to ensure you're working with people you can constantly learn from. You're trusted to get your work done your way while testing the limits of what's possible and what's next. We work hard to provide a culture where everyone feels supported, and our employees feel it- their votes helped us become one of Newsweek's Top 100 Global Most Loved Workplaces. We think of ourselves as the team behind the team, supporting the lifelong impact sports can have: the lessons in teamwork and dedication, the influence of inspiring coaches, and the opportunities to reach new heights. That's why we help teams from all over the world see their game differently. Our products make it easier for coaches and athletes at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're hiring a Senior MLOps Engineer to join our Hardware Group, where you'll build and scale the machine learning infrastructure that powers our smart cameras, Focus. You'll own the edge deployment pipelines that transport neural networks from training clusters to tens of thousands of devices globally and will act as the bridge between our Applied Machine Learning team in London and our Software squads in the Netherlands and the U.S., building the "nervous system" for the next generation of automated sports capture. As a Senior MLOps Engineer, you'll: Build scalable Edge infrastructure. You'll design, develop, and maintain the delivery systems that enable us to deploy models to fleets of devices. You will lead the re-architecture to a dynamic, granular update system allowing faster learning. Work with cross-functional teams. You'll collaborate with Data Scientists, Embedded Engineers and Product Managers to ensure smooth integration of complex features and capabilities, translating research requirements into deployable hardware realities. Drive automation and reliability. You'll implement infrastructure to silently test candidate models on production devices, and build telemetry pipelines to monitor drift, thermal impact, and inference latency in the wild. Solve complex physical challenges. You'll tackle the unique constraints of the edge-building resilient update mechanisms for low-bandwidth environments, optimising for limited storage, and ensuring devices recover gracefully from network failures. Mentor and lead. You'll share your MLOps expertise to establish best practices in Python tooling, Infrastructure-as-Code, and CI/CD, guiding the team toward a more robust, automated future. We'd like to hire someone for this role who lives near our offices in London or Barcelona, but we're also open to remote candidates in the UK and Spain. Must-Haves Experienced in production MLOps. You've played a key role in building and operating pipelines that deploy models to production-specifically dealing with the "physical world" (IoT, Edge, Robotics) rather than just cloud APIs. Technical expertise. You write clean, maintainable infrastructure code and have deep experience with CI/CD pipelines, containerization (Docker), and Linux systems. Collaborative. You understand that shipping to hardware is a team sport and can communicate effectively with researchers and low-level embedded engineers to translate constraints into solutions. Systems Thinking. You can design architectures that handle failure gracefully and understand the implications of deploying to 10,000 heterogeneous devices, including how to manage risk via canary releases and safe rollbacks. Bias towards action: You see your role as solving problems; this means filling gaps and taking initiative as needed to help the team win together. Nice-to-Haves Edge AI Stack. Experience with the NVIDIA edge ecosystem (Jetson Nano/NX/Orin, DeepStream SDK, TensorRT) is a huge plus. Video Technologies. Familiarity with video pipelines, GStreamer, or ffmpeg. Fleet Management. Experience with tools like AWS IoT Greengrass, Balena, or custom OTA / fleet management solutions. Sports Passion. You have an interest in sports technology, video analytics, or performance metrics-but if not, we'll teach you the domain. Our Role Champion work-life harmony. We'll give you the flexibility you need in your work life (e.g., flexible vacation time above any required statutory leave, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too. Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you'll own your work and have the agency to try new ideas. Encourage career growth. We're lifelong learners who encourage professional development. We'll give you tons of resources and opportunities to keep growing. Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you're at the office or working remotely, we'll provide you the tech you need to do your best work. Support your wellbeing. Depending on location, we offer medical and retirement benefits for employees-but no matter where you're located, we have resources like our Employee Assistance Program and employee resource groups to support your mental health. The base salary range for this role is displayed below-starting salaries will typically fall near the middle of this range. We make compensation decisions based on an individual's experience, skills and education in line with our internal pay equity practices. This role will also be eligible for a long-term incentive (LTI) award. Any bonuses awarded are based on individual and company performance paid at Hudl's discretion. Inclusion at Hudl Hudl is an equal opportunity employer. Through our actions, behaviors and attitude, we'll create an environment where everyone, no matter their differences, feels like they belong. We offer resources to ensure our employees feel safe bringing their authentic selves to work, including employee resource groups and communities. But we recognize there's ongoing work to be done, which is why we track our efforts and commitments in annual inclusion reports. We also know imposter syndrome is real and the confidence gap can get in the way of meeting spectacular candidates. Please don't hesitate to apply-we'd love to hear from you. Interested in building your career at Hudl? Get future opportunities sent straight to your email.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 15, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Cloud Backend Software Engineer to design and build scalable backend services that power both internal platform infrastructure and externally facing systems for our quantum technologies. This role focuses on developing cloud native microservice architectures, distributed APIs, and reliable backend systems that support experiment orchestration, data pipelines, device control workflows, and internal developer platforms. You will build and operate services that form the backbone of our quantum software platform, enabling scientists, engineers, and external users to interact with quantum hardware and experimentation workflows through robust, scalable infrastructure. The ideal candidate is comfortable building API driven services, asynchronous systems, and scalable data infrastructure deployed in containerised and orchestrated cloud environments. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and operate cloud native backend services and microservice architectures supporting both internal engineering platforms and externally accessible APIs. Build Python based backend systems using modern frameworks such as FastAPI and SQLAlchemy to implement scalable, maintainable services. Architect and implement distributed systems that support experiment orchestration, telemetry collection, data ingestion, and device interaction workflows. Design backend systems with strong focus on reliability, scalability, observability, and fault tolerance, including monitoring, logging, tracing, and graceful degradation. Deploy and operate services using Docker containers, local development environments with Docker Compose, and production orchestration using Kubernetes. Collaborate with interdisciplinary teams including physicists, hardware engineers, and research scientists to translate experimental workflows into scalable software systems. Mentor junior engineers and promote best practices in backend architecture, distributed systems design, reliability engineering, and software development. Lead architecture discussions, design reviews, and code reviews to maintain high engineering standards and system maintainability. Contribute to platform reliability and operational excellence, diagnosing production issues, improving system performance, and strengthening infrastructure resilience. Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Physics, or related field with 3+ years of professional software engineering experience. Strong experience developing backend systems in Python, particularly using modern frameworks such as FastAPI, SQLAlchemy, or similar tools. Experience designing and implementing and deploying distributed systems or microservice architectures, using tools including Docker, Docker Compose & Kubernetes. Experience designing systems for reliability, scalability, and operational robustness and using CI/CD pipelines, automated testing infrastructure, and deployment automation. Strong understanding of software engineering best practices, including testing, version control, debugging, observability, documentation, and maintainability. Strong communication and collaboration skills, with the ability to work effectively across interdisciplinary teams. Desirable Skills or Knowledge Experience building distributed systems in cloud environments (AWS, GCP, Azure, or similar). Experience with message queues and event driven architectures (e.g., Kafka, RabbitMQ, NATS, or similar). Experience with database systems and data infrastructure, including relational databases, time series databases, and large scale data pipelines. Experience building Python packages with native extensions (Rust/C/C++). EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines . click apply for full job details
Apr 15, 2026
Full time
Purpose of Onyx The Onyx Research Data Tech organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale to unlock the value of our combined data assets and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will be accountable for designing and delivering the road map for molecule design products to support GSK Research and Development. This role will be pivotal in ensuring a cohesive enterprise level strategy towards molecule design solutions and will ensure our scientists have access to best-in-in-class technology products to improve research productivity and ultimately deliver new medicines for our patients. In this role you will: Own and lead the product roadmap, product development, launch and adoption of novel molecule design solutions to benefit the scientific community at GSK across multiple departments Play a key role in defining the strategic direction for molecule design tools with GenAI capabilities at the core Partner closely with the wider Onyx tech team, as well as R&D scientists and leaders, to deliver industry-leading cloud-based products and solutions with GenAI and agentic capabilities. Key Responsibilities: Product Strategy and Roadmap: Develop and execute a comprehensive product strategy and roadmap for molecule design solutions and tools, aligned with the Onyx's overall product vision and objectives. Customer Understanding: Conduct in-depth customer research, gather customer insights, and engage with customers regularly to understand emerging requirements. Product Planning and Definition: Collaborate with stakeholders to define product requirements, features, and specifications based on customer feedback, product vision, and business goals. Agile Product Development: Work closely with portfolio and engineering teams in an agile environment to ensure successful and timely delivery of product releases, including prioritization, sprint planning, and backlog management. GenAI Product and Capability Upgrade: Spearhead the development of a new class of AI Agents, powered by LLMs and Generative AI, designed to autonomously execute complex scientific research tasks like hypothesis generation, experimental design, and data interpretation. Design and productize the human-agent interaction layer, moving beyond traditional UIs to create conversational and goal-driven interfaces that allow scientists to delegate multi-step tasks and interpret the outputs of autonomous GenAI systems. Own the product lifecycle for models and agents, leading the strategy for data acquisition, model fine-tuning, and the development of APIs/agents that allow them to be leveraged as "tools" by other agents and systems. Model-In-The-Loop Design: Structuring products so that R&D users can easily challenge, verify, and provide feedback to improve the agentic tools and underlying models (human-guided iteration). Demonstrate Human + AI collaboration with minimum friction to drive user adoption. Lead highly technical product discussions with engineering leaders, translating ambiguous scientific objectives into precise requirements for fine-tuning foundational models, vector databases, and multi-agent system architectures. Cross-Functional Collaboration: Collaborate with both tech and RD teams, including DevOps & Infrastructure, data engineering, computing platform engineering, data & knowledge platform engineering, program management teams and RD data leadership teams, to align product strategies, gather input, and drive successful implementation plans. Product Launch and Adoption: Lead product launches, ensuring effective communication, training, and support materials to drive successful product adoption and customer satisfaction. Product Performance and Optimization: Continuously monitor product performance, collect and analyze data, and drive iterative improvements to enhance product usability, performance, and customer experience. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Bachelors degree in Bioinformatics, Computational Biology, cheminformatics, AI/ML, Computer Science, Software Engineering, or related discipline. Significant experience in product management with a proven track record of shipping 0-to-1 software products powered by AI/GenAI, LLMs, or autonomous agents in a commercial or large-scale enterprise setting. Demonstrated experience defining product strategy for modern applications, including hands-on experience with technologies core to AI systems such as vector databases, MLOps, retrieval-augmented generation, and model fine-tuning. Direct product management experience designing and launching AI agents that can utilize tools (APIs, function calling) to perform complex, multi-step actions and reason about their environment. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale LLM-based applications Preferred Qualifications & Skills: Master's degree or PhD in Bioinformatics, Computational Biology, Computational Chemistry, Data Science, Computer Science/Software Engineering, Cloud Computing or related discipline. Hands-on software engineering or data science experience in a GenAI-focused team prior to transitioning into product management. Familiarity with the architecture of modern transformer-based models and the strategic product trade-offs between using proprietary models (e.g., GPT-4, Claude), open-source models (e.g., Llama, Mistral), and fine-tuning custom models. Experience building products that manage or interpret complex, unstructured biomedical data Extensive knowledge of bioinformatics, computational biology, or cheminformatics, and a strong vision for how agentic AI can revolutionize the drug discovery process. Extensive product experience designing, optimizing, and implementing Model Context Protocols (MCP) for LLM-powered agents, including advanced strategies for prompt engineering, context window management, memory architectures (e.g., short-term, long-term memory), and ensuring model coherence over extended multi-turn interactions. Hands-on experience with product management tools such as Confluence, Jira, Miro, Monday, Notion, etc. Previous experience in life science industry or biopharma R&D is a plus. Closing Date for Applications: Tuesday 6th January 2026 (COB) Please note: As we approach the holiday season, our recruitment team and hiring managers will have limited availability between now and early January. We encourage you to apply and will review all applications, however response times may be longer than usual, and interviews may be scheduled after the New Year. We appreciate your understanding and look forward to connecting soon! Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used to monitor the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines . click apply for full job details
A leading technology company in the UK is seeking a Machine Learning Engineer. In this role, you will be responsible for the data lifecycle that fuels agent research. You'll design and build data pipelines, ensure data quality, and collaborate closely with research scientists. The ideal candidate should have strong skills in Python, experience with data workflows, and a collaborative approach. This opportunity offers competitive benefits and a dynamic work environment.
Apr 14, 2026
Full time
A leading technology company in the UK is seeking a Machine Learning Engineer. In this role, you will be responsible for the data lifecycle that fuels agent research. You'll design and build data pipelines, ensure data quality, and collaborate closely with research scientists. The ideal candidate should have strong skills in Python, experience with data workflows, and a collaborative approach. This opportunity offers competitive benefits and a dynamic work environment.
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Apr 14, 2026
Full time
Staff Software Engineer At UnlikelyAI, we are building the future of AI: one that is reliable, accurate, and transparent. Our neurosymbolic technology harnesses the power of LLMs and generative AI, and combines it with Universal Language - our proprietary symbolic technology that bridges the gap between probabilistic machine learning and deterministic classical computing. Our products are already in use with major enterprises - including tier-1 banks and leading accountancy firms - across audit, compliance, and financial services. In compliance, we combine symbolic decision trees with LLM-powered evidence extraction to catch errors in financial reporting that human reviewers miss. In financial services, we use neurosymbolic guardrails to deliver accurate and explainable outcomes at scale. We are now building toward a platform - a public API and platform experience that will make our core neurosymbolic capabilities available to a broader set of customers and use cases. This is a pivotal moment: we're transitioning from bespoke customer engagements into a scalable product platform, and we need exceptional engineers to help us get there. The Role We are looking for a Staff Software Engineer to help shape the technical direction of our platform as we scale. This is a role for someone who combines deep hands on engineering ability with the judgement and influence to drive architecture and engineering quality across teams. You'll be one of our most experienced individual contributors - someone the team looks to for guidance on hard technical decisions, system design, and long term technical strategy. You'll spend most of your time writing code and solving complex problems, but you'll also be expected to identify the highest leverage work across squads, mentor other engineers, and raise the bar for how we build software. Our core capabilities span symbolic reasoning (decision trees, propositional graphs, knowledge graphs), document ingestion pipelines, and the APIs that expose these to customers. You'll work on genuinely novel problems at the intersection of classical symbolic AI and modern LLMs - for example, how to represent regulatory knowledge as machine evaluable rules, or how to build feedback loops that improve system accuracy over time. You'll work within a shared monorepo alongside software engineers, research engineers, and applied scientists in a heavily cross functional environment. We operate in small, focused product teams, supported by shared infrastructure, internal tooling, and an R&D function. What You Might Work On In your first months, you could find yourself working on any of the following: Defining the architecture for our new public API - making foundational decisions about authentication, scalability, versioning, and developer experience that will shape the platform for years. Leading the design and implementation of our document ingestion pipelines to handle new input formats (e.g. PDF, Word) and new regulatory jurisdictions at scale. Designing evaluation frameworks and benchmarks to measure and improve system accuracy - and establishing these as engineering norms across teams. Driving improvements to our deployment architecture for enterprise customers with specific cloud and security requirements. Owning the technical strategy for internal tooling and developer experience across the monorepo - identifying bottlenecks and leading initiatives to address them. Working on the symbolic reasoning engine that powers our products - including decision tree evaluation, rule generation, and knowledge graph construction. Identifying and leading cross cutting technical initiatives that improve reliability, performance, or engineering velocity across the organisation. You'll be successful here if you have deep expertise in Python, including writing well typed, well tested code in a collaborative codebase, and strong opinions on how to structure Python projects at scale. you have a proven track record in system design and architecture - you've made foundational technical decisions that shaped the trajectory of a product or platform. you've tackled complex algorithms and data structures and have experience working with non trivial algorithmic problems at scale. you care deeply about production quality engineering - you don't just advocate for software quality, you actively set the standards and build the culture around it. you have a track record of technical leadership - you've influenced technical direction across multiple teams or projects without necessarily having direct reports. you have significant experience with cloud infrastructure (AWS preferred) - services such as S3, ECR, ECS/EKS, and infrastructure managed via Terraform or similar - and can make informed architectural decisions about deployment and scalability. you have a bias for action - you move quickly, make informed decisions, and iterate without waiting for perfect information. you have a relevant degree in Computer Science, Mathematics, Engineering, or STEM - or equivalent practical experience. Other skills You don't need to tick every box below, but any of the following would strengthen your application: Monorepo experience - comfortable working in and improving a large, shared codebase with multiple product teams contributing. CI/CD pipelines - hands on experience with GitHub Actions or similar, ideally including designing and optimising CI infrastructure. Experience with document processing pipelines - PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation - decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems - prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience with React and TypeScript - we value engineers who can contribute across the stack when needed. Experience in regulated industries - fintech, audit, compliance, insurance, or banking. Familiarity with the modern Python tooling ecosystem: uv for package management, ruff for linting, pyright or similar type checkers. Experience with observability and monitoring tools such as Datadog. Experience mentoring engineers and helping teams grow their technical capabilities. How We Work We're a team of around 30 people based primarily in the UK. We operate a hybrid working policy, with three days a week in our Central London office. Engineering is organised into product focused squads, supported by shared infrastructure and an R&D function. We work in a monorepo, deploy to AWS, and care deeply about developer experience - we're actively investing in modernising our tooling, CI, and repository structure. We run hackathons, we have strong opinions about code quality (held loosely), and we ship often. Our culture is collaborative and low ego: engineers regularly move between teams, pair on hard problems, and contribute ideas regardless of seniority. We take the work seriously, but not ourselves.
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Apr 14, 2026
Full time
Company Description Join the team redefining how the world experiences design Hiya, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work The buzzing Canva London campus features several buildings around beautiful leafy Hoxton Square in Shoreditch. While our global headquarters is in Sydney, Australia, London is our HQ for Europe, with all kinds of teams based here, plus event spaces to gather our team and communities. You'll experience a warm welcome from our Vibe team at front of house, amazing home cooked food from our Head Chef and a variety of workspaces to hang out with your team mates or get solo work done. That said, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals and so you have choice in where and how you work. Job Description At Canva, our mission is to empower the world to design. We're building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research-building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen-reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers-curating task distributions that surface real failure modes. Develop tooling for dataset construction-including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering-designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements-you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. Additional Information What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: Equity packages - we want our success to be yours too Inclusive parental leave policy that supports all parents & carers An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don't feel like your skills quite match what's listed above - we still want to hear from you! Please note that interviews are conducted virtually.
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
Apr 13, 2026
Full time
Our priority is to match the right person to the right role, and we never want salary to be a barrier to applying. Regardless of your current pay, we'll ask about your salary expectations during the application process, and our Talent Team will have an open, honest conversation during the talent call to understand your skills and explore our salary options. If you have questions around salary, please feel free to ask us! Location: Chiswick, London - Hybrid 2 days per week Sponsorship: We are unable to offer sponsorship for this role The Role Reporting to our Tech Director we are looking for a Data Lead to join the team. The Data Lead is responsible for leading the company's data driven transformation by building scalable, cutting edge data infrastructures and implementing advanced analytics and artificial intelligence (AI) strategies. This role will drive the company's data strategy to foster continuous innovation, ensure data driven decision making, and future prove the business by leveraging emerging trends in AI, machine learning, data automation, and real time insights. The Data Lead will oversee Data Engineering, Business Intelligence, and Data Science to ensure data remains a core asset that powers growth, customer centricity, and operational efficiency. Why So Energy? So Energy was created in 2015 because we knew energy suppliers could be better. Since then, we've grown rapidly but sustainably, with 300,000 customers and over 450 Energists (what we call our people). But we're not done! We're on the road to a net zero future, and thanks to our partnership with ESB, we're well on the way. We're customer centric, tech led, and passionate about sustainability. We're driven to do our best for our customers, for each other, and for our planet. That's why we've built a workplace culture that's supportive, empowering, inclusive, and full of opportunities to grow and make an impact. At So Energy, we take pride in our values driven culture. We live and breathe by our six core values that guide everything we do: Clear Honest Ambitious Inquisitive Caring Sustainable What you'll be getting up to in this role: Business Intelligence and Real Time Analytics: Drive the evolution of the company's BI capabilities from static reporting to dynamic, real time, and self service analytics, empowering teams with on demand insights. Develop and implement advanced data visualization platforms that are intuitive, interactive, and seamlessly integrated with business workflows to democratize data usage across the organization. Champion the use of augmented analytics, leveraging AI to automate data analysis and uncover hidden patterns and trends in real time, reducing reliance on manual reporting. Align BI efforts with business strategy, ensuring data insights inform critical decisions in customer engagement, marketing, product development, and operational efficiency. AI, Data Science, and Machine Learning for Competitive Advantage: Lead the Data Science and Machine Learning team in embedding predictive analytics and AI driven decision making across key business functions, from customer segmentation to operational forecasting. Explore and implement AI technologies such as natural language processing (NLP), computer vision, and recommendation systems to enhance customer experience and operational processes. Stay ahead of advancements in AI, focusing on the development of explainable AI models to ensure transparency and trust in decision making processes. Utilise cutting edge techniques such as federated learning and reinforcement learning to ensure the company can leverage data without compromising privacy, security, or scalability. Data Infrastructure and Engineering: Architect a future proof, scalable, and secure data infrastructure that leverages cloud native and edge computing technologies. Transition the organization towards a real time data pipeline architecture, facilitating immediate access to insights for faster business decisions. Oversee the development and automation of data pipelines and workflows to ensure data integrity, availability, and integration across various systems. Lead the exploration and implementation of advanced data technologies, including data lakes, event driven architectures, and microservices, to handle increasing volumes of structured and unstructured data. Leadership and Strategy for a Data Driven Organisation: Develop and champion a holistic data strategy that aligns with long term business goals and market trends, positioning data as a strategic asset across all departments. Promote a culture of data literacy and continuous learning, ensuring that every business function can interpret and act on data insights to drive results. Drive innovation by experimenting with emerging technologies, such as synthetic data generation, real time AI powered decision systems, and blockchain for data security. Collaborate with C suite executives to align data initiatives with corporate objectives and spearhead the company's journey to becoming a fully data driven organization. Collaboration and Stakeholder Management: Build strong cross functional relationships to ensure data solutions align with the needs of key stakeholders in departments like Finance, Operations, Customer Services, and Marketing. Proactively identify opportunities where data insights can drive new revenue streams, improve customer acquisition and retention, or enhance operational efficiency. Serve as the company's thought leader in data innovation, continuously educating the leadership team on the strategic potential of emerging data technologies. Foster collaboration between data engineers, data scientists, business analysts, and product teams to ensure seamless integration of data insights into product development and business operations. Future Readiness and Innovation: Constantly monitor and experiment with the latest trends in AI, data engineering, and analytics, ensuring the company remains a leader in data innovation. Explore opportunities in decentralized data architectures and multi cloud environments to enhance agility and resilience. Leverage advances in quantum computing and edge analytics to prepare the organization for next generation data challenges, such as ultra high speed decision making and processing vast datasets in real time. Cultivate partnerships with academic institutions, data science communities, and technology vendors to stay on the cutting edge of research and developments in data science and AI. You're a great match if: Passionate about Data: You have a deep passion for data and its potential to transform business operations and drive growth. You're always excited about uncovering new insights and applying them to solve complex business challenges. Curious and Innovative: You are constantly exploring the latest trends in data science, AI, and analytics, and you enjoy experimenting with emerging technologies to find creative solutions that push the boundaries of what's possible. Problem Solver: You thrive in solving intricate problems and can translate complex data into actionable insights. You enjoy navigating through ambiguity, breaking down challenges into manageable pieces, and finding solutions that deliver real impact to the business. Business-focused: You can translate technical data insights into business terms that drive growth. You don't just focus on the numbers-you focus on the value they bring to the company and its customers. Technologically Savvy: You are well versed in cutting edge data technologies such as cloud platforms, AI, and machine learning. You have experience working with tools like SQL, Python, and data visualization platforms like Looker or Tableau, and you're always eager to learn more. Strategic Thinker: You have a strong ability to align data initiatives with broader business objectives, ensuring that data remains a central part of the company's strategy. You're able to look beyond the numbers and understand the bigger picture, using data to guide long term decisions. Leader and Mentor: You are an empathetic and inspiring leader, able to mentor cross functional teams across Data Engineering, BI, and Data Science. You know how to foster innovation, encourage collaboration, and nurture a data driven culture within your teams. Innovator at heart: You are always looking for opportunities to drive the business forward through data, whether that's through exploring quantum computing for faster processing, or using AI for real time, actionable insights. You are not content with the status quo-you're always thinking ahead. Collaborative: You excel in working with various stakeholders, from senior leadership to technical teams, ensuring that data driven solutions are aligned with business needs. You are skilled at communicating complex ideas in a simple, relatable way, helping others see the value of data. Data Ethics Advocate: You understand the importance of data governance, compliance, and ethical AI practices, and you're committed to ensuring that data is used responsibly and in line with industry regulations. Research shows that some underrepresented people are less likely to apply for a role unless they are 100% qualified. We believe your experience, skills, and passion will set you apart . click apply for full job details
Interim Senior Influencer & Social Manager - Living Proof (12 month FTC) London Job Title: Senior Social Manager & Influencer Manager (Living Proof UK) Location: London (Hybrid) Brand: Living Proof Reporting to: Brand Director Direct Reports: Social Media & Influencer Manager About Living Proof In 2005, an unlikely combination of biotech scientists and renowned hair stylists came together to pioneer a first-of-its-kind haircare philosophy based in science. Our mission was to create inventive solutions designed to solve real-world hair problems, not conceal them. 156 global patents,450+ formulas, 44products,100+awards, and 16 years later, we continue to put research at the forefront of our formulations. Today, Living Proof isScience in Action - utilizing in-house scientific discovery and invention to develop the latest innovations in haircare that deliver game-changing results for all hair types and textures. We are the science. You are the Living Proof . Role Summary Ownership of UK Paid Influencer Strategy, and overseeing UK Social Media Strategy. Continuing to support Living Proof brand objectives, drive brand awareness and conversion via DTC and key retailers through relevant influencer partnerships and targeted content. Responsibilities & Duties Organic Social Media Support and oversee Social & Influencer Manager in development and implementation of organic social media strategy. Ensure all content planned and created by Social & Influencer Manager is in line with wider brand objectives (ie. promotion of key retailers, 'icon' products etc.) Support retail team in ensuring coverage of all key retail partners. Leading the UK Paid Social strategy to drive traffic and sales on UK DTC + key UK Retailers / Pure players (Space NK, Boots & LookFantastic) DTC - paid media: Identify, recommend and test new content ideas for paid media Lead on briefing and delivery of best performing UGC content for paid media, based on previous campaign data and results. Work with DTC to implement influencer discount offers and bundles for key long-term partners in line with influencer revenue targets. Work with affiliate networks and the Ecommerce team to identify influencers for traffic and sales-driving paid partnerships. Retailers/Pure Players: Leverage bespoke influencer content for key UK retailers - primarily Space NK, THG, Boots and Sephora - ensuring regular cadence of coverage on retailer social channels to drive traffic and sales. Oversee implementation of Social and Influencer Manager's content plans to drive traffic and sales in-store at Space NK, Boots & Sephora UK Paid Influencer Partnerships, leveraging the global influencer strategy to also benefit the UK Develop and execute the influencer paid partnership strategy for Living Proof UK, to meet frequency, EMV and revenue metrics. Support B2B team in planning and executing influencer activity on partner channels (e.g., Look Fantastic, Space NK, Sephora). Manage all paid influencer activity including creation of briefs, negotiation with agents and influencers, contracts, reviewing and approving assets and identifying new partners to work with to support key brand objectives. Drive brand advocacy via long-term partnerships, ensuring organic coverage and brand love outside of paid deliverables. Analysis of all paid influencer activations, tracking against KPIs and budget. Management of dedicated influencer budget. Work closely with the Communications Team to plan and execute influencer events and creative mailings for new product launches and brand campaigns. Provide expert insight into emerging influencer marketing trends, competitor strategies and best practices. Stylist Management Stylist Squad Oversee Social and Influencer Manager on leading Long term stylist partnerships - identifying relevant partnerships to drive awareness and authority in both markets. Stay reactive, putting Living Proof at the forefront of key hair and lifestyle trends with expert advice via credible stylist partners. Stylist Community Oversee Social and Influencer Manager on maintenance of strong UK stylist social community (150 stylists) - prioritising high engagement, brand love and posting frequency over scaling size of community. Support wider marketing projects / consumer engagement Customer Communication: Engaging with customers through various channels like social media, email, and feedback platforms to address inquiries, provide assistance, and gather feedback. Content Creation and Curation: Developing relevant and engaging content to connect with consumers, including social media updates, emails, retailer comms and more. Educating by providing resources and information to help customers better understand and utilise products or services. Campaign deployment: support the business brand director in the development of marketing activities Social listening / Community Management: Overseeing online communities + reviews related to the brand, ensuring a positive and interactive environment for customers to share experiences and insights. Feedback Analysis: Gathering and analysing customer feedback to identify areas for improvement and making recommendations to enhance products or services. Additional Requirements Future Fit Skills: Creativity, Consumer Experience, Problem Solving Winning Behaviours: Care Deeply, Consumer Experience, Problem Solving As an equal opportunities' employer, Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18 is committed to the equal treatment of all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do. In particular, we strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18.
Apr 13, 2026
Full time
Interim Senior Influencer & Social Manager - Living Proof (12 month FTC) London Job Title: Senior Social Manager & Influencer Manager (Living Proof UK) Location: London (Hybrid) Brand: Living Proof Reporting to: Brand Director Direct Reports: Social Media & Influencer Manager About Living Proof In 2005, an unlikely combination of biotech scientists and renowned hair stylists came together to pioneer a first-of-its-kind haircare philosophy based in science. Our mission was to create inventive solutions designed to solve real-world hair problems, not conceal them. 156 global patents,450+ formulas, 44products,100+awards, and 16 years later, we continue to put research at the forefront of our formulations. Today, Living Proof isScience in Action - utilizing in-house scientific discovery and invention to develop the latest innovations in haircare that deliver game-changing results for all hair types and textures. We are the science. You are the Living Proof . Role Summary Ownership of UK Paid Influencer Strategy, and overseeing UK Social Media Strategy. Continuing to support Living Proof brand objectives, drive brand awareness and conversion via DTC and key retailers through relevant influencer partnerships and targeted content. Responsibilities & Duties Organic Social Media Support and oversee Social & Influencer Manager in development and implementation of organic social media strategy. Ensure all content planned and created by Social & Influencer Manager is in line with wider brand objectives (ie. promotion of key retailers, 'icon' products etc.) Support retail team in ensuring coverage of all key retail partners. Leading the UK Paid Social strategy to drive traffic and sales on UK DTC + key UK Retailers / Pure players (Space NK, Boots & LookFantastic) DTC - paid media: Identify, recommend and test new content ideas for paid media Lead on briefing and delivery of best performing UGC content for paid media, based on previous campaign data and results. Work with DTC to implement influencer discount offers and bundles for key long-term partners in line with influencer revenue targets. Work with affiliate networks and the Ecommerce team to identify influencers for traffic and sales-driving paid partnerships. Retailers/Pure Players: Leverage bespoke influencer content for key UK retailers - primarily Space NK, THG, Boots and Sephora - ensuring regular cadence of coverage on retailer social channels to drive traffic and sales. Oversee implementation of Social and Influencer Manager's content plans to drive traffic and sales in-store at Space NK, Boots & Sephora UK Paid Influencer Partnerships, leveraging the global influencer strategy to also benefit the UK Develop and execute the influencer paid partnership strategy for Living Proof UK, to meet frequency, EMV and revenue metrics. Support B2B team in planning and executing influencer activity on partner channels (e.g., Look Fantastic, Space NK, Sephora). Manage all paid influencer activity including creation of briefs, negotiation with agents and influencers, contracts, reviewing and approving assets and identifying new partners to work with to support key brand objectives. Drive brand advocacy via long-term partnerships, ensuring organic coverage and brand love outside of paid deliverables. Analysis of all paid influencer activations, tracking against KPIs and budget. Management of dedicated influencer budget. Work closely with the Communications Team to plan and execute influencer events and creative mailings for new product launches and brand campaigns. Provide expert insight into emerging influencer marketing trends, competitor strategies and best practices. Stylist Management Stylist Squad Oversee Social and Influencer Manager on leading Long term stylist partnerships - identifying relevant partnerships to drive awareness and authority in both markets. Stay reactive, putting Living Proof at the forefront of key hair and lifestyle trends with expert advice via credible stylist partners. Stylist Community Oversee Social and Influencer Manager on maintenance of strong UK stylist social community (150 stylists) - prioritising high engagement, brand love and posting frequency over scaling size of community. Support wider marketing projects / consumer engagement Customer Communication: Engaging with customers through various channels like social media, email, and feedback platforms to address inquiries, provide assistance, and gather feedback. Content Creation and Curation: Developing relevant and engaging content to connect with consumers, including social media updates, emails, retailer comms and more. Educating by providing resources and information to help customers better understand and utilise products or services. Campaign deployment: support the business brand director in the development of marketing activities Social listening / Community Management: Overseeing online communities + reviews related to the brand, ensuring a positive and interactive environment for customers to share experiences and insights. Feedback Analysis: Gathering and analysing customer feedback to identify areas for improvement and making recommendations to enhance products or services. Additional Requirements Future Fit Skills: Creativity, Consumer Experience, Problem Solving Winning Behaviours: Care Deeply, Consumer Experience, Problem Solving As an equal opportunities' employer, Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18 is committed to the equal treatment of all current and prospective employees regardless of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse workforce because, in our view, diversity enables better business outcomes. We also believe that a more inclusive workplace, where people of different backgrounds work together, ensures better outcomes for all staff. From application to interview, we place inclusion at the heart of all we do. In particular, we strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join Unilever Prestige Hub Brands/Tatcha/Murad Living Proof/K18.
The Company Transition Bio is an innovative, early-stage biotechnology company with the vision of being the world leader in drug discovery targeting biological condensates. At Transition Bio, multidisciplinary teams with diverse skillsets in biology, biophysics, chemistry, engineering, and machine learning work closely together, building first-in-class technology for high-throughput screening to aid hit identification and driving drug discovery. With close affiliation to Cambridge and Harvard universities, our approach is truly original and encompasses a growing collection of novel technologies and methodologies. The Opportunity We are seeking an experienced Senior Data Manager to join our research group. The successful candidate will be an integral part of our research discovery team. They will lead the execution of all data management activities, ensuring focus on data integrity, reliability in accordance with standard procedures, industry guidelines and best practices. They will manage, and be accountable for, our scientific data infrastructure (Dotmatics), with a particular focus on ADMET and DMPK data. This role offers the opportunity to also input into the company's overall ADME/PK strategy. The successful candidate will be independent, a self-starter and have strong interpersonal skills. They will have a successful track record and enjoy working in a truly multi disciplinary environment. This position will interact closely with Transition Bio colleagues across cell biology, biophysics, biochemistry, medicinal chemistry, as well as external consultants and CROs. Key Responsibilities Collaborate with scientists at all levels of discovery to ensure provision and support for chemical, pharmacological, biophysical and ADMET/DMPK data information systems Implement, customise, maintain, curate, and develop databases, software solutions and supporting technologies from a range of vendors Exceptionally proficient in using the Dotmatics platform and integrating others (e.g. Benchling) to coordinate data curation, annotation, and assimilation Be the point person internally for troubleshooting and training for data management activities Manage and scrutinise datasets received from CROs and external providers, to ensure data quality and integrity is to a high standard. Provide solutions to complex scientific data and informatics requirements, from assay requests to raw data capture, curation, analysis, retrieval, reporting and visualisation Develop, implement, and continuously improve data processing through vendor evaluation and selection, analysis of our requirements, legacy data management and migration, integrations, customisation and testing Depending on level of proficiency and motivation, there may be a potential opportunity to impact our overall ADME/DMPK strategy and applications to project cascades Required Qualifications and Experience B.Sc. or M.Sc. in a drug discovery relevant discipline (e.g. chemistry, pharmacology, biochemistry, etc.) and significant experience in a Biotech or Pharma organisation Proficient in running a research informatics system (e.g. Dotmatics platform), inventory, assay data analyses and ingestion of external data from multiple sources Experience with use of electronic laboratory notebook (ELN) systems and developing standard operating procedures (SOPs) Strong understanding of data structure and quality control Prior experience with data used in drug discovery desirable, with an emphasis on ADMET/DMPK properties Excellent interpersonal, oral, and written communication skills Outstanding organisational skills Ability to build good working relationships with colleagues across many disciplines with diverse professional backgrounds, as well as international CROs Experience with computing programming could be advantageous
Apr 13, 2026
Full time
The Company Transition Bio is an innovative, early-stage biotechnology company with the vision of being the world leader in drug discovery targeting biological condensates. At Transition Bio, multidisciplinary teams with diverse skillsets in biology, biophysics, chemistry, engineering, and machine learning work closely together, building first-in-class technology for high-throughput screening to aid hit identification and driving drug discovery. With close affiliation to Cambridge and Harvard universities, our approach is truly original and encompasses a growing collection of novel technologies and methodologies. The Opportunity We are seeking an experienced Senior Data Manager to join our research group. The successful candidate will be an integral part of our research discovery team. They will lead the execution of all data management activities, ensuring focus on data integrity, reliability in accordance with standard procedures, industry guidelines and best practices. They will manage, and be accountable for, our scientific data infrastructure (Dotmatics), with a particular focus on ADMET and DMPK data. This role offers the opportunity to also input into the company's overall ADME/PK strategy. The successful candidate will be independent, a self-starter and have strong interpersonal skills. They will have a successful track record and enjoy working in a truly multi disciplinary environment. This position will interact closely with Transition Bio colleagues across cell biology, biophysics, biochemistry, medicinal chemistry, as well as external consultants and CROs. Key Responsibilities Collaborate with scientists at all levels of discovery to ensure provision and support for chemical, pharmacological, biophysical and ADMET/DMPK data information systems Implement, customise, maintain, curate, and develop databases, software solutions and supporting technologies from a range of vendors Exceptionally proficient in using the Dotmatics platform and integrating others (e.g. Benchling) to coordinate data curation, annotation, and assimilation Be the point person internally for troubleshooting and training for data management activities Manage and scrutinise datasets received from CROs and external providers, to ensure data quality and integrity is to a high standard. Provide solutions to complex scientific data and informatics requirements, from assay requests to raw data capture, curation, analysis, retrieval, reporting and visualisation Develop, implement, and continuously improve data processing through vendor evaluation and selection, analysis of our requirements, legacy data management and migration, integrations, customisation and testing Depending on level of proficiency and motivation, there may be a potential opportunity to impact our overall ADME/DMPK strategy and applications to project cascades Required Qualifications and Experience B.Sc. or M.Sc. in a drug discovery relevant discipline (e.g. chemistry, pharmacology, biochemistry, etc.) and significant experience in a Biotech or Pharma organisation Proficient in running a research informatics system (e.g. Dotmatics platform), inventory, assay data analyses and ingestion of external data from multiple sources Experience with use of electronic laboratory notebook (ELN) systems and developing standard operating procedures (SOPs) Strong understanding of data structure and quality control Prior experience with data used in drug discovery desirable, with an emphasis on ADMET/DMPK properties Excellent interpersonal, oral, and written communication skills Outstanding organisational skills Ability to build good working relationships with colleagues across many disciplines with diverse professional backgrounds, as well as international CROs Experience with computing programming could be advantageous
Research Analyst PSB Insights: Position: Full-time (40 hours per week) Location: London (minimum of three days a week in Central London office) Salary: from £29,000 Applicants must be eligible to work in the UK, or already be working in the UK. About PSB PSB Insights is a global research consultancy. Our mission: to bring decisions out of the dark for our clients. Our approach: disruptive methodologies, smarter working models, and a relentless pursuit of better decision-making. At PSB, research is a means to an end. We are focused on what our clients care about: Data-driven decisions. Breakthrough strategies. Stronger outcomes. We are a passionate team of 70 researchers, data-scientists, strategists, and storytellers who believe in the power of understanding to shape a better future. We hire critical thinkers. If you have a thirst to grow, and to learn from some of the best, read on. About the role PSB is seeking intellectually curious Research Analysts with a passion for uncovering the "why" behind human behaviours. For people who are willing to get creative, and push boundaries. This role offers a unique opportunity to contribute to a wide range of research projects, spanning methodologies and industries. In this role, you will be integral to the project lifecycle, from questionnaire design and data analysis to report creation and presentation. If you are a detail-oriented individual with strong analytical skills and a desire to make a real impact, we encourage you to apply. What you'll do: Contribute to research projects including audience exploration and segmentation, market sizing, brand positioning and tracking, creative development and testing, and communication strategy and messaging Conduct quantitative analyses and demonstrate proficiency in working with data Provide logistical support for fielding quantitative and qualitative research projects Assist in creating client deliverables including reports and presentations, incorporating data analysis, charts, and compelling narratives Ensure data quality through rigorous testing and quality control procedures Provide input on questionnaire and discussion guide design and recommend methodological approaches Support client development and marketing efforts of senior colleagues Who you are: A strong academic performer (university degree or equivalent) Intellectually curious, creative, and detail-oriented Passionate about brands, campaigns and / or politics Keen interest (and preferably some experience) in research and strategy An excellent communicator (verbal and written) Highly organised with strong time management skills; able to multi-task across different projects and meet deadlines effectively Proficient in Microsoft Excel, PowerPoint, and Word; SPSS or other statistical software is a plus but not essential Able to work autonomously AND as part of a high performing team Keen to be part of a high velocity, entrepreneurial culture where you co-create innovative solutions to get the job done Passionate about working as part of a diverse team, and collaborating to make your work stronger Why you'll want to be at PSB: Opportunity to work for a boutique consultancy and thought leaders focused on driving real change for clients Opportunity for travel and international experience as you grow and succeed in the role (the London Team works with clients across Europe, Middle East and Africa) Competitive salary 25 days of annual leave (plus day for your birthday, plus the last Friday of every quarter, plus Bank Holidays) Options for private medical, dental, and travel insurances Pension scheme with healthy company match How to apply: To apply please complete the application form and upload it to no later than Friday 17th April 2026. CVs will not be accepted Please note that for the first review of applications, applicant information including names, educational institutions, and educational dates will be blinded Interviews: Shortlisted candidates will be invited to our central London office to complete a timed exercise and interview in front of a panel. If you require reasonable adjustments for your interview (e.g. adapted equipment, changes to work environment) please let us know in advance
Apr 10, 2026
Full time
Research Analyst PSB Insights: Position: Full-time (40 hours per week) Location: London (minimum of three days a week in Central London office) Salary: from £29,000 Applicants must be eligible to work in the UK, or already be working in the UK. About PSB PSB Insights is a global research consultancy. Our mission: to bring decisions out of the dark for our clients. Our approach: disruptive methodologies, smarter working models, and a relentless pursuit of better decision-making. At PSB, research is a means to an end. We are focused on what our clients care about: Data-driven decisions. Breakthrough strategies. Stronger outcomes. We are a passionate team of 70 researchers, data-scientists, strategists, and storytellers who believe in the power of understanding to shape a better future. We hire critical thinkers. If you have a thirst to grow, and to learn from some of the best, read on. About the role PSB is seeking intellectually curious Research Analysts with a passion for uncovering the "why" behind human behaviours. For people who are willing to get creative, and push boundaries. This role offers a unique opportunity to contribute to a wide range of research projects, spanning methodologies and industries. In this role, you will be integral to the project lifecycle, from questionnaire design and data analysis to report creation and presentation. If you are a detail-oriented individual with strong analytical skills and a desire to make a real impact, we encourage you to apply. What you'll do: Contribute to research projects including audience exploration and segmentation, market sizing, brand positioning and tracking, creative development and testing, and communication strategy and messaging Conduct quantitative analyses and demonstrate proficiency in working with data Provide logistical support for fielding quantitative and qualitative research projects Assist in creating client deliverables including reports and presentations, incorporating data analysis, charts, and compelling narratives Ensure data quality through rigorous testing and quality control procedures Provide input on questionnaire and discussion guide design and recommend methodological approaches Support client development and marketing efforts of senior colleagues Who you are: A strong academic performer (university degree or equivalent) Intellectually curious, creative, and detail-oriented Passionate about brands, campaigns and / or politics Keen interest (and preferably some experience) in research and strategy An excellent communicator (verbal and written) Highly organised with strong time management skills; able to multi-task across different projects and meet deadlines effectively Proficient in Microsoft Excel, PowerPoint, and Word; SPSS or other statistical software is a plus but not essential Able to work autonomously AND as part of a high performing team Keen to be part of a high velocity, entrepreneurial culture where you co-create innovative solutions to get the job done Passionate about working as part of a diverse team, and collaborating to make your work stronger Why you'll want to be at PSB: Opportunity to work for a boutique consultancy and thought leaders focused on driving real change for clients Opportunity for travel and international experience as you grow and succeed in the role (the London Team works with clients across Europe, Middle East and Africa) Competitive salary 25 days of annual leave (plus day for your birthday, plus the last Friday of every quarter, plus Bank Holidays) Options for private medical, dental, and travel insurances Pension scheme with healthy company match How to apply: To apply please complete the application form and upload it to no later than Friday 17th April 2026. CVs will not be accepted Please note that for the first review of applications, applicant information including names, educational institutions, and educational dates will be blinded Interviews: Shortlisted candidates will be invited to our central London office to complete a timed exercise and interview in front of a panel. If you require reasonable adjustments for your interview (e.g. adapted equipment, changes to work environment) please let us know in advance
The Pitch. It's a fun job with a great team. You'll be peering into cutting edge technology being built in labs around the world and speaking to a lot of scientists. We're on the hunt for someone with a strong academic background in physics and exceptional writing ability who can get to grips quickly with new and emerging technologies. Someone who enjoys thinking, writing and speaking about the latest breakthrough advances - from scaling direct capture of CO from air to using quantum hardware for running machine learning algorithms - and everything in between. This is a role for someone who can take highly technical research and translate it into clear, concise, client ready written insight. You'll work alongside our project delivering team, our huge community of science and technology experts (to crowdsource their collective intelligence) and design studios. You're switched on, savvy and a great communicator, who is able to write clearly and speak thoughtfully. You should thrive in a fast paced environment with high levels of transparency and growth. What you will be doing By assimilating deep tech research and foresight into client ready deliverables, you'll help the R&D divisions of global companies and government agencies be at the forefront of innovation. Learn about a wide range of deep tech topics, proactively broadening your knowledge across many emerging fields Participate in client calls, translating requirements into new projects Interview innovators, pioneers and leaders in startups and university labs Review and integrate research outputs into clear, concise, high quality written content with strong visual impact Help to evolve our crowdsourcing methodology and tools for tech foresight, horizon scanning, trend forecasting and scouting Maintain our unwavering pursuit of exceptional quality, providing constructive feedback to contributors You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Digital Twins Future aerospace concepts Human machine interfaces Nanomaterials Satellite communications Space propulsion concepts Synthetic Biology Who this role is for This role is suited to someone who: Has a BSc, MSc or PhD in Physics Has strong technical fundamentals and enjoys engaging with complex scientific material Is a clear, structured and concise writer, able to translate technical concepts into client ready insight Is comfortable working across a broad range of technologies as a generalist Has exposure to commercial or client focused environments We would be particularly interested in candidates with the following experience: Scientific or technical publishing Technology patent attorney or similar role involving technical interpretation and writing Scientific communications Scientific policy Requirements BSc, Masters or PhD in Physics (required) 1-5 years experience in tech intelligence, consulting or a broad/generalist technical role Deep intellectual curiosity about a wide range of emerging technologies, and the ability to assimilate quickly at a high level Ability to think on your feet and communicate with clients in senior positions Comfortable in a fast paced start up environment High level of attention to detail, care deeply about quality Excellent written communication skills, specifically the ability to write concise and engaging client specific prose How to apply Send a two page CV and a one page cover letter to highlighting your suitability for this role. Please note: only candidates who apply via email will be considered. WHY OUTSMART INSIGHT? Advances in all the sciences - from robotics and genomics to climate tech and space exploration - are leaving no aspect of our lives untouched. Global challenges in the 21st Century need science, technology and the collective ingenuity of all the big brains on our planet to solve them, which is why we need you. Outsmart Insight is a technology intelligence company at the intersection of where deep tech meets the future. Our focus is on emerging, breakthrough and next generation technologies. We specialise in horizon scanning, technology monitoring, trend forecasting and innovation scouting, enabling FTSE 100 companies, venture capital firms, multinational R&D and government agencies to be at the forefront of next generation technology. CORE COMPANY VALUES Smart minds, working together Hard work, rewarded Quality delivered every time Strong client relationships built on trust
Apr 09, 2026
Full time
The Pitch. It's a fun job with a great team. You'll be peering into cutting edge technology being built in labs around the world and speaking to a lot of scientists. We're on the hunt for someone with a strong academic background in physics and exceptional writing ability who can get to grips quickly with new and emerging technologies. Someone who enjoys thinking, writing and speaking about the latest breakthrough advances - from scaling direct capture of CO from air to using quantum hardware for running machine learning algorithms - and everything in between. This is a role for someone who can take highly technical research and translate it into clear, concise, client ready written insight. You'll work alongside our project delivering team, our huge community of science and technology experts (to crowdsource their collective intelligence) and design studios. You're switched on, savvy and a great communicator, who is able to write clearly and speak thoughtfully. You should thrive in a fast paced environment with high levels of transparency and growth. What you will be doing By assimilating deep tech research and foresight into client ready deliverables, you'll help the R&D divisions of global companies and government agencies be at the forefront of innovation. Learn about a wide range of deep tech topics, proactively broadening your knowledge across many emerging fields Participate in client calls, translating requirements into new projects Interview innovators, pioneers and leaders in startups and university labs Review and integrate research outputs into clear, concise, high quality written content with strong visual impact Help to evolve our crowdsourcing methodology and tools for tech foresight, horizon scanning, trend forecasting and scouting Maintain our unwavering pursuit of exceptional quality, providing constructive feedback to contributors You are expected to gain exposure to a wide range of emerging technology topics, such as: AI and machine learning Autonomous and unmanned systems Biomanufacturing Digital Twins Future aerospace concepts Human machine interfaces Nanomaterials Satellite communications Space propulsion concepts Synthetic Biology Who this role is for This role is suited to someone who: Has a BSc, MSc or PhD in Physics Has strong technical fundamentals and enjoys engaging with complex scientific material Is a clear, structured and concise writer, able to translate technical concepts into client ready insight Is comfortable working across a broad range of technologies as a generalist Has exposure to commercial or client focused environments We would be particularly interested in candidates with the following experience: Scientific or technical publishing Technology patent attorney or similar role involving technical interpretation and writing Scientific communications Scientific policy Requirements BSc, Masters or PhD in Physics (required) 1-5 years experience in tech intelligence, consulting or a broad/generalist technical role Deep intellectual curiosity about a wide range of emerging technologies, and the ability to assimilate quickly at a high level Ability to think on your feet and communicate with clients in senior positions Comfortable in a fast paced start up environment High level of attention to detail, care deeply about quality Excellent written communication skills, specifically the ability to write concise and engaging client specific prose How to apply Send a two page CV and a one page cover letter to highlighting your suitability for this role. Please note: only candidates who apply via email will be considered. WHY OUTSMART INSIGHT? Advances in all the sciences - from robotics and genomics to climate tech and space exploration - are leaving no aspect of our lives untouched. Global challenges in the 21st Century need science, technology and the collective ingenuity of all the big brains on our planet to solve them, which is why we need you. Outsmart Insight is a technology intelligence company at the intersection of where deep tech meets the future. Our focus is on emerging, breakthrough and next generation technologies. We specialise in horizon scanning, technology monitoring, trend forecasting and innovation scouting, enabling FTSE 100 companies, venture capital firms, multinational R&D and government agencies to be at the forefront of next generation technology. CORE COMPANY VALUES Smart minds, working together Hard work, rewarded Quality delivered every time Strong client relationships built on trust
Job Description Summary Do you have a passion for all things software with a desire to make your impact in biotechnology? STEMCELL is hiring a Senior Customer Success Consultant for our STEMSOFT SOFTWARE team! As the Senior Customer Success Consultant you will bring advanced expertise in STEMSOFT product applications within complex regulatory environments. In this job, you will play a pivotal role in strategizing long-term solutions that integrate seamlessly with client workflows, enhancing both user satisfaction and regulatory compliance. You will support organizational growth by actively contributing to revenue generation through strategic client engagements and optimized system configurations. Please note, given our global reach, this position may require flexible working hours to support our international customers. Job Description Duties and Responsibilities Engages deeply with customers to analyze and contextualize their technical and regulatory challenges, providing detailed documentation and strategic advice Leads discussions on best practices and advanced application techniques in client settings, ensuring solutions are both practical and compliant Monitors industry trends in clinical, regulatory, and accreditation processes to guide clients through potential future challenges Articulates strategic solutions that align STEMSOFT capabilities with client needs, focusing on long term usability and compliance Develops and refines best practices for the application of STEMSOFT products, influencing both product development and client processes Knowledge and Qualifications Bachelor's degree or higher in a related field, and 6 to 10 years of experience in clinical cell therapy is an asset Expert understanding of accreditation and regulations related to cell therapy and related medical products of human origin including, but not limited to, FACT, JACIE, FDA, HTA, HealthCanada and EMA Advanced communication skills, with the ability to influence and discuss technical details with various stakeholders effectively Strong leadership in project management and customer consultations Expertise in regulatory compliance and its application to software solutions alongside high proficiency in problem solving, critical thinking, and troubleshooting Ability to educate clients in training and commendable practices STEMCELL Technologies is a privately owned, Vancouver-based biotechnology company that helps power leading edge life science research around the world. Driven by our love of science and passion for quality, we are a company of Scientists Helping Scientists-standing by our customers to provide the outstanding products, technical support, and training they need to advance their research. Scientists performing stem cell, immunology, cancer, regenerative medicine, and cellular therapy research are among those who rely on our cell culture media, cell separation products, instruments, accessory products, and services. Through our many regional offices, as well as our distribution centers in Vancouver, Seattle, Grenoble, and Singapore, we deliver our innovative, specialized products to more than 100 countries. With over 1,800 employees globally, most with scientific or engineering degrees, STEMCELL is proud to be the largest biotechnology employer in Canada. This is an opportunity to work with highly motivated colleagues in a science oriented, creative, and dynamic environment. We offer a competitive salary, excellent benefits, and meaningful career development opportunities. STEMCELL is well recognized for exceptional leadership and business practices. We are one of Canada's Best Managed Companies and operate an ISO 14001 certified environmental management system to measure and reduce our environmental impact. As an equal opportunity employer, STEMCELL is dedicated to ensuring that every employee feels safe, valued, and respected for who they are. We know that scientific progress and innovation occur when diverse, creative minds come together and we are committed to nurturing a culture of inclusivity and belonging. STEMCELL enforces a zero tolerance policy for any form of discrimination. Selection decisions are solely based on job related factors. The annual salary for this job ranges from: £43,900.00 - £65,900.00. STEMCELL determines an individual's pay within the range based on multiple factors including experience, education, job related skills, and equity within the team or organization. For jobs that are eligible for sales incentives, the range noted above is inclusive of target incentives; actual incentives are based on individual performance results in accordance with company policy. In addition to base salary, STEMCELL offers a comprehensive total rewards package that may include health benefits, retirement savings, and more (depending on region). To apply, please select the "Apply" button below. You will then be directed to a login screen asking you to set up an account, which is required to apply.
Apr 09, 2026
Full time
Job Description Summary Do you have a passion for all things software with a desire to make your impact in biotechnology? STEMCELL is hiring a Senior Customer Success Consultant for our STEMSOFT SOFTWARE team! As the Senior Customer Success Consultant you will bring advanced expertise in STEMSOFT product applications within complex regulatory environments. In this job, you will play a pivotal role in strategizing long-term solutions that integrate seamlessly with client workflows, enhancing both user satisfaction and regulatory compliance. You will support organizational growth by actively contributing to revenue generation through strategic client engagements and optimized system configurations. Please note, given our global reach, this position may require flexible working hours to support our international customers. Job Description Duties and Responsibilities Engages deeply with customers to analyze and contextualize their technical and regulatory challenges, providing detailed documentation and strategic advice Leads discussions on best practices and advanced application techniques in client settings, ensuring solutions are both practical and compliant Monitors industry trends in clinical, regulatory, and accreditation processes to guide clients through potential future challenges Articulates strategic solutions that align STEMSOFT capabilities with client needs, focusing on long term usability and compliance Develops and refines best practices for the application of STEMSOFT products, influencing both product development and client processes Knowledge and Qualifications Bachelor's degree or higher in a related field, and 6 to 10 years of experience in clinical cell therapy is an asset Expert understanding of accreditation and regulations related to cell therapy and related medical products of human origin including, but not limited to, FACT, JACIE, FDA, HTA, HealthCanada and EMA Advanced communication skills, with the ability to influence and discuss technical details with various stakeholders effectively Strong leadership in project management and customer consultations Expertise in regulatory compliance and its application to software solutions alongside high proficiency in problem solving, critical thinking, and troubleshooting Ability to educate clients in training and commendable practices STEMCELL Technologies is a privately owned, Vancouver-based biotechnology company that helps power leading edge life science research around the world. Driven by our love of science and passion for quality, we are a company of Scientists Helping Scientists-standing by our customers to provide the outstanding products, technical support, and training they need to advance their research. Scientists performing stem cell, immunology, cancer, regenerative medicine, and cellular therapy research are among those who rely on our cell culture media, cell separation products, instruments, accessory products, and services. Through our many regional offices, as well as our distribution centers in Vancouver, Seattle, Grenoble, and Singapore, we deliver our innovative, specialized products to more than 100 countries. With over 1,800 employees globally, most with scientific or engineering degrees, STEMCELL is proud to be the largest biotechnology employer in Canada. This is an opportunity to work with highly motivated colleagues in a science oriented, creative, and dynamic environment. We offer a competitive salary, excellent benefits, and meaningful career development opportunities. STEMCELL is well recognized for exceptional leadership and business practices. We are one of Canada's Best Managed Companies and operate an ISO 14001 certified environmental management system to measure and reduce our environmental impact. As an equal opportunity employer, STEMCELL is dedicated to ensuring that every employee feels safe, valued, and respected for who they are. We know that scientific progress and innovation occur when diverse, creative minds come together and we are committed to nurturing a culture of inclusivity and belonging. STEMCELL enforces a zero tolerance policy for any form of discrimination. Selection decisions are solely based on job related factors. The annual salary for this job ranges from: £43,900.00 - £65,900.00. STEMCELL determines an individual's pay within the range based on multiple factors including experience, education, job related skills, and equity within the team or organization. For jobs that are eligible for sales incentives, the range noted above is inclusive of target incentives; actual incentives are based on individual performance results in accordance with company policy. In addition to base salary, STEMCELL offers a comprehensive total rewards package that may include health benefits, retirement savings, and more (depending on region). To apply, please select the "Apply" button below. You will then be directed to a login screen asking you to set up an account, which is required to apply.
Associate Director - Transport Planning page is loaded Associate Director - Transport Planningremote type: Hybridlocations: Southampton, UK: Bury St Edmunds, UK: Bolton, UKtime type: Full timeposted on: Posted Todayjob requisition id: JR101625SLR provide transport planning advice to clients across sectors including residential, retail and logistics. We have an exciting opportunity for an experienced Transport Planning professional to join at Associate Director level, to assist with both project delivery and with client and team management activities. We are keen to hire in to several offices, including Southampton, Bury St Edmunds and Bolton.Our Transport & Mobility Planning team has a vision to deliver a valuable and lasting contribution to society through the way people connect, move and interact. Through bespoke solutions we enable development to be brought forward positively and sustainably, simultaneously optimising commercial value and placemaking. Whether we're working on garden towns, strategic rail freight interchanges, nuclear power stations, sports stadiums, public sector schemes or small residential projects, we combine vision and creativity with technical rigour in design, planning and modelling to ensure the best outcome.By implementing the latest innovations in transport planning, we are proud to be making a positive contribution, driving decarbonisation and changing mind-sets about travel behaviour. Our dedicated research and innovation arm ensures we are at the forefront of mobility solutions for sustainable development. Our team of social scientists, transport planners and climate specialists have a wealth of experience assisting in developing science-based and net zero carbon reduction targets.This knowledge provides our transport planners and engineers with insight and knowledge about best practice and future mobility approaches that directly benefit our clients on development planning projects in the UK.Led by one of the most experienced and recognised management teams in the industry, our scale, knowledge and reputation for unlocking complex sites in a sustainable manner provides our employees with vast development possibilities and the opportunity to help solve some of the most complex transport planning issues affecting our clients. As well as providing sound technical advice we consider it important to bring personality to our projects. We are focused on attracting and retaining high calibre individuals and hence many of our staff have, or are working towards, professional industry qualifications. Investing in our employees by providing training and a regular programme of CPD activities is part of our continual development strategy to improve skills, knowledge and understanding.We pride ourselves on being a company focussed on our staff and we seek to create a culture which is beneficial to both our staff and our clients. We create a camaraderie amongst all our staff through a variety of social events, with the aim of encouraging all new starters to become part of the team.As an Associate Director you will be responsible for the delivery of a wide range of transport planning project for various clients across the UK, using a detailed knowledge and experience of standard modelling packages and recognised transport appraisal techniques. The role You will be involved in managing and delivering a number of complex projects with the team at any one time. This would include the promotion of development sites from site identification/ acquisition, planning application submission, discharge of planning conditions and monitoring through the planning process, preparing transport statements, assessments, travel plans and other supporting documentation such as delivery servicing management plans.As part of the team or lead on projects, you will deliver market leading consultancy advice to clients and co-consultants and be confident in explaining technical matters to decision makers, interested parties, more junior team members and lay people. You will provide support to both junior and senior staff as well as having the opportunity to develop your own project management and work winning skills.Your key responsibilities will be: Manage client relationships to ensure the securing of work; Negotiate fee proposals; Manage projects in line with client expectations and internal priorities; Manage and control project finances; Communicate with colleagues as appropriate; Continue to update personal knowledge or relevant technical, legal and policy changes; Manage and develop colleague's technical and commercial skills within the team; Use personal judgement and initiative to develop effective and constructive solutions; Maintain continuous professional development; Provide guidance on quality matters and technical issues; and Seek to "add value" to all projects.SLR are global leaders in environmental and advisory solutions helping our clients achieve their sustainability goals. We are a consultancy with over 4,000 staff across 6 regions - including over 1,600 staff across Europe. SLR's 'one team' culture is at the heart of our business, providing a collaborative and supportive environment for professional development.Along with competitive salaries, our staff enjoy a comprehensive benefits package including a company pension and healthcare offering, travel and life insurance, critical illness cover and a structured career framework with regular reviews offering outstanding opportunities for progression. Alongside 25 day's annual leave, SLR offer agile working which allows staff to tailor hours worked around core hours, and our family friendly policies help balance the needs of professional and family life. About you You will be an experienced Transport Planner, with a thorough understanding of relevant planning and transport policy and delivery of advice and results for clients. You will ideally have: A degree in a related subject; Significant experience in preparing Transport Statements, Assessments and other related documents; Understanding of priority junction Modelling software (Junctions 11); Experience of using LINSIG and ability to understand outputs; Understanding of the principles of micro-simulation and strategic models/ modelling; Knowledge of design standards (DMRB, MfS) and when and how they are used; Experience of developing access, parking and sustainable transport strategies; Experience of preparing fee proposals and winning work independently; Knowledge of S106 agreements, S278 agreements and Traffic Regulation Orders; Project management skills with the capability to manage a wide and complex workload; Ability to work with minimal supervision and have a strong ability to use their own initiative; Excellent written and verbal communication skills; and Excellent interpersonal skills to develop working relationships with colleagues, co consultants, clients and stakeholders. Culture & Inclusion at SLR We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.Should you require any special adjustments throughout the recruitment process with us, please let us know. As a Disability Confident Committed employer, we seek to ensure all applicants have equitable support when applying to SLR.
Apr 08, 2026
Full time
Associate Director - Transport Planning page is loaded Associate Director - Transport Planningremote type: Hybridlocations: Southampton, UK: Bury St Edmunds, UK: Bolton, UKtime type: Full timeposted on: Posted Todayjob requisition id: JR101625SLR provide transport planning advice to clients across sectors including residential, retail and logistics. We have an exciting opportunity for an experienced Transport Planning professional to join at Associate Director level, to assist with both project delivery and with client and team management activities. We are keen to hire in to several offices, including Southampton, Bury St Edmunds and Bolton.Our Transport & Mobility Planning team has a vision to deliver a valuable and lasting contribution to society through the way people connect, move and interact. Through bespoke solutions we enable development to be brought forward positively and sustainably, simultaneously optimising commercial value and placemaking. Whether we're working on garden towns, strategic rail freight interchanges, nuclear power stations, sports stadiums, public sector schemes or small residential projects, we combine vision and creativity with technical rigour in design, planning and modelling to ensure the best outcome.By implementing the latest innovations in transport planning, we are proud to be making a positive contribution, driving decarbonisation and changing mind-sets about travel behaviour. Our dedicated research and innovation arm ensures we are at the forefront of mobility solutions for sustainable development. Our team of social scientists, transport planners and climate specialists have a wealth of experience assisting in developing science-based and net zero carbon reduction targets.This knowledge provides our transport planners and engineers with insight and knowledge about best practice and future mobility approaches that directly benefit our clients on development planning projects in the UK.Led by one of the most experienced and recognised management teams in the industry, our scale, knowledge and reputation for unlocking complex sites in a sustainable manner provides our employees with vast development possibilities and the opportunity to help solve some of the most complex transport planning issues affecting our clients. As well as providing sound technical advice we consider it important to bring personality to our projects. We are focused on attracting and retaining high calibre individuals and hence many of our staff have, or are working towards, professional industry qualifications. Investing in our employees by providing training and a regular programme of CPD activities is part of our continual development strategy to improve skills, knowledge and understanding.We pride ourselves on being a company focussed on our staff and we seek to create a culture which is beneficial to both our staff and our clients. We create a camaraderie amongst all our staff through a variety of social events, with the aim of encouraging all new starters to become part of the team.As an Associate Director you will be responsible for the delivery of a wide range of transport planning project for various clients across the UK, using a detailed knowledge and experience of standard modelling packages and recognised transport appraisal techniques. The role You will be involved in managing and delivering a number of complex projects with the team at any one time. This would include the promotion of development sites from site identification/ acquisition, planning application submission, discharge of planning conditions and monitoring through the planning process, preparing transport statements, assessments, travel plans and other supporting documentation such as delivery servicing management plans.As part of the team or lead on projects, you will deliver market leading consultancy advice to clients and co-consultants and be confident in explaining technical matters to decision makers, interested parties, more junior team members and lay people. You will provide support to both junior and senior staff as well as having the opportunity to develop your own project management and work winning skills.Your key responsibilities will be: Manage client relationships to ensure the securing of work; Negotiate fee proposals; Manage projects in line with client expectations and internal priorities; Manage and control project finances; Communicate with colleagues as appropriate; Continue to update personal knowledge or relevant technical, legal and policy changes; Manage and develop colleague's technical and commercial skills within the team; Use personal judgement and initiative to develop effective and constructive solutions; Maintain continuous professional development; Provide guidance on quality matters and technical issues; and Seek to "add value" to all projects.SLR are global leaders in environmental and advisory solutions helping our clients achieve their sustainability goals. We are a consultancy with over 4,000 staff across 6 regions - including over 1,600 staff across Europe. SLR's 'one team' culture is at the heart of our business, providing a collaborative and supportive environment for professional development.Along with competitive salaries, our staff enjoy a comprehensive benefits package including a company pension and healthcare offering, travel and life insurance, critical illness cover and a structured career framework with regular reviews offering outstanding opportunities for progression. Alongside 25 day's annual leave, SLR offer agile working which allows staff to tailor hours worked around core hours, and our family friendly policies help balance the needs of professional and family life. About you You will be an experienced Transport Planner, with a thorough understanding of relevant planning and transport policy and delivery of advice and results for clients. You will ideally have: A degree in a related subject; Significant experience in preparing Transport Statements, Assessments and other related documents; Understanding of priority junction Modelling software (Junctions 11); Experience of using LINSIG and ability to understand outputs; Understanding of the principles of micro-simulation and strategic models/ modelling; Knowledge of design standards (DMRB, MfS) and when and how they are used; Experience of developing access, parking and sustainable transport strategies; Experience of preparing fee proposals and winning work independently; Knowledge of S106 agreements, S278 agreements and Traffic Regulation Orders; Project management skills with the capability to manage a wide and complex workload; Ability to work with minimal supervision and have a strong ability to use their own initiative; Excellent written and verbal communication skills; and Excellent interpersonal skills to develop working relationships with colleagues, co consultants, clients and stakeholders. Culture & Inclusion at SLR We are committed to being an equal opportunities employer, and our expectations go beyond purely complying with legislation. Through our Regional C&I Committees, Global Council and Employee Networks, we foster an inclusive environment where all people regardless of their background can thrive.We welcome applications from all individuals, regardless of their background, including those from groups that are currently under-represented at SLR, such as people identifying as 2SLGBTQI+, Indigenous peoples, ethnic minority groups, women, and people with visible or invisible disabilities, including those who are neurodivergent.Should you require any special adjustments throughout the recruitment process with us, please let us know. As a Disability Confident Committed employer, we seek to ensure all applicants have equitable support when applying to SLR.
Director, Country Coordinator - Canada (M/F) - DCC01OB OpenBinacle Country Coordinators (Directors) in Artificial Intelligence, Engineering, and Language Technology OpenBinacle is developing next-generation technologies in Artificial Intelligence (AI), 6G mobile communication networks and systems, optical networks, satellite communications, multimedia and mobile systems, radio access networks, city and local networks, broadcasting systems, navigation systems, sensor and IoT systems, and radar systems. In addition, OpenBinacle is a leading Pan-African AI and language technology platform advancing innovation in Natural Language Processing (NLP), machine translation, and African language digital infrastructure. Through a robust network of research partners, developers, and universities across the continent, we are committed to empowering African languages and building scalable AI ecosystems. Position Announcement: As part of our global expansion strategy, OpenBinacle is recruiting distinguished academic leaders to serve as Country Coordinators (Directors) in strategic markets, including Canada and around the world. Role Overview: OpenBinacle is seeking a Country Director / Coordinator to represent the organization in their respective country. As a Country Coordinator, you will serve as OpenBinacle's official academic and institutional representative, leading: national academic partnerships AI and engineering research collaborations technology ecosystem development the adoption and deployment of OpenBinacle technologies You will serve as the primary liaison between OpenBinacle Global Headquarters and your country's universities, research institutions, and government agencies. This position requires visionary leadership, academic excellence, and a pioneering spirit to help advance the global development of AI, language technologies, and next-generation communication systems. So, bring your leadership and pioneering spirit. Strategic Leadership Responsibilities Country Coordinators will be expected to: Establish and lead national academic partnerships Promote AI and language technology research collaborations Support the adoption of OpenBinacle technologies within universities and national innovation ecosystems Facilitate collaboration between OpenBinacle Global Headquarters and national academic institutions Support the development of national research networks and innovation ecosystemsRepresent OpenBinacle at academic, government, and international technology forums Eligibility and Qualifications: OpenBinacle seeks highly accomplished academic leaders with demonstrated excellence in research, innovation, and institutional leadership. Candidates should possess a distinguished record of scholarly research, publications, and academic leadership. Applicants must demonstrate: Experience in international research programs or global technology initiatives Experience supervising PhD candidates and leading research laboratories Contributions to policy development, innovation ecosystems, or national research programs Strong international academic and institutional networks Academic Rank Applicants must hold one of the following academic positions at a recognized university or research institution: Full Professor, or Associate Professor with a PhD and a strong international research profile, or Senior Research Scientist / Principal Investigator at a recognized research institute. Research and Leadership Experience Applicants should demonstrate: A strong international publication record in reputable journals or conferences Experience leading or participating in major research projects or academic consortiaEstablished collaborations with universities, research institutes, or government agencies Proven ability to develop research partnerships and interdisciplinary initiatives Experience in Artificial Intelligence, language technologies, communications engineering, or digital language infrastructure will be considered a significant advantage. Educational Background Applicants must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering Information Engineering Information Systems Distributed Systems Cloud Computing Engineering and Communication Systems Electrical and Electronic Engineering Telecommunications Engineering Communications Engineering Optical Communications Engineering Signal Processing Embedded Systems Engineering Robotics and Intelligent Systems Speech and Language Technologies Speech Recognition Language and Linguistics Morpho-Syntax Phonetics and Phonology Semantics and Pragmatics Language Technology Humanities and Social Sciences (Relevant to Language Ecosystems) Digital Humanities Anthropology (especially Linguistic Anthropology) African Studies Language Policy and Planning Benefits and Global Recognition : Country Coordinators will participate in OpenBinacle's national innovation and growth framework, which includes performance-based incentives linked to the development and adoption of OpenBinacle technologies within their designated country. These incentives recognize leadership in ecosystem development, strategic partnerships, and national technology deployment. Specific details of the national partnership framework and incentive structure will be communicated to selected candidates during the appointment process. Selected candidates may also participate in future OpenBinacle research initiatives, technology partnerships, and innovation ventures, reinforcing their position as founding academic leaders in the global OpenBinacle network. Application Procedure If you are the right candidate for this position, please submit the following documents to emailprotected using the subject: Director, Country Coordinator - Canada - DCC01OB : Statement of Interest (1-2 pages) Proof of Academic Appointment Selected Publications (optional) Press: For more information about our press release, please visit our press center. You can also send enquiries to emailprotected
Apr 08, 2026
Full time
Director, Country Coordinator - Canada (M/F) - DCC01OB OpenBinacle Country Coordinators (Directors) in Artificial Intelligence, Engineering, and Language Technology OpenBinacle is developing next-generation technologies in Artificial Intelligence (AI), 6G mobile communication networks and systems, optical networks, satellite communications, multimedia and mobile systems, radio access networks, city and local networks, broadcasting systems, navigation systems, sensor and IoT systems, and radar systems. In addition, OpenBinacle is a leading Pan-African AI and language technology platform advancing innovation in Natural Language Processing (NLP), machine translation, and African language digital infrastructure. Through a robust network of research partners, developers, and universities across the continent, we are committed to empowering African languages and building scalable AI ecosystems. Position Announcement: As part of our global expansion strategy, OpenBinacle is recruiting distinguished academic leaders to serve as Country Coordinators (Directors) in strategic markets, including Canada and around the world. Role Overview: OpenBinacle is seeking a Country Director / Coordinator to represent the organization in their respective country. As a Country Coordinator, you will serve as OpenBinacle's official academic and institutional representative, leading: national academic partnerships AI and engineering research collaborations technology ecosystem development the adoption and deployment of OpenBinacle technologies You will serve as the primary liaison between OpenBinacle Global Headquarters and your country's universities, research institutions, and government agencies. This position requires visionary leadership, academic excellence, and a pioneering spirit to help advance the global development of AI, language technologies, and next-generation communication systems. So, bring your leadership and pioneering spirit. Strategic Leadership Responsibilities Country Coordinators will be expected to: Establish and lead national academic partnerships Promote AI and language technology research collaborations Support the adoption of OpenBinacle technologies within universities and national innovation ecosystems Facilitate collaboration between OpenBinacle Global Headquarters and national academic institutions Support the development of national research networks and innovation ecosystemsRepresent OpenBinacle at academic, government, and international technology forums Eligibility and Qualifications: OpenBinacle seeks highly accomplished academic leaders with demonstrated excellence in research, innovation, and institutional leadership. Candidates should possess a distinguished record of scholarly research, publications, and academic leadership. Applicants must demonstrate: Experience in international research programs or global technology initiatives Experience supervising PhD candidates and leading research laboratories Contributions to policy development, innovation ecosystems, or national research programs Strong international academic and institutional networks Academic Rank Applicants must hold one of the following academic positions at a recognized university or research institution: Full Professor, or Associate Professor with a PhD and a strong international research profile, or Senior Research Scientist / Principal Investigator at a recognized research institute. Research and Leadership Experience Applicants should demonstrate: A strong international publication record in reputable journals or conferences Experience leading or participating in major research projects or academic consortiaEstablished collaborations with universities, research institutes, or government agencies Proven ability to develop research partnerships and interdisciplinary initiatives Experience in Artificial Intelligence, language technologies, communications engineering, or digital language infrastructure will be considered a significant advantage. Educational Background Applicants must hold a PhD or equivalent doctoral degree in a relevant discipline, including but not limited to: Mathematics and Theoretical Foundations Mathematics Applied Mathematics Statistics Mathematical Modeling Artificial Intelligence and Data Sciences Data Science Natural Language Processing (NLP) Knowledge Representation and Reasoning Computer and Information Sciences Computer Science Software Engineering Information Engineering Information Systems Distributed Systems Cloud Computing Engineering and Communication Systems Electrical and Electronic Engineering Telecommunications Engineering Communications Engineering Optical Communications Engineering Signal Processing Embedded Systems Engineering Robotics and Intelligent Systems Speech and Language Technologies Speech Recognition Language and Linguistics Morpho-Syntax Phonetics and Phonology Semantics and Pragmatics Language Technology Humanities and Social Sciences (Relevant to Language Ecosystems) Digital Humanities Anthropology (especially Linguistic Anthropology) African Studies Language Policy and Planning Benefits and Global Recognition : Country Coordinators will participate in OpenBinacle's national innovation and growth framework, which includes performance-based incentives linked to the development and adoption of OpenBinacle technologies within their designated country. These incentives recognize leadership in ecosystem development, strategic partnerships, and national technology deployment. Specific details of the national partnership framework and incentive structure will be communicated to selected candidates during the appointment process. Selected candidates may also participate in future OpenBinacle research initiatives, technology partnerships, and innovation ventures, reinforcing their position as founding academic leaders in the global OpenBinacle network. Application Procedure If you are the right candidate for this position, please submit the following documents to emailprotected using the subject: Director, Country Coordinator - Canada - DCC01OB : Statement of Interest (1-2 pages) Proof of Academic Appointment Selected Publications (optional) Press: For more information about our press release, please visit our press center. You can also send enquiries to emailprotected
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
Apr 08, 2026
Full time
AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:
For additional information, please review . Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment. Key Responsibilities Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications Must-Have Skills & Experience Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research). Familiarity with front-office workflows in ECM, DCM, M&A, and investment research. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud). Strong communication and stakeholder management skills, especially with senior bankers and C-level executives. Preferred Experience with knowledge graphs and graph-based search. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook. Prior work on AI co-pilots, document summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client targeting, pitch preparation, and market monitoring. Data assets and ML models fully aligned with enterprise governance and architecture. Scalable AI platform that evolves with the pace of the business and innovation.Shape the future of investment banking with cutting-edge AI. Work at the intersection of technology, capital markets, and innovation. High visibility and impact across the front office and C-suite. Access to world-class data, partners, and AI infrastructure. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Business Analysis / Client Services Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.
Apr 08, 2026
Full time
For additional information, please review . Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment. Key Responsibilities Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications Must-Have Skills & Experience Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research). Familiarity with front-office workflows in ECM, DCM, M&A, and investment research. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud). Strong communication and stakeholder management skills, especially with senior bankers and C-level executives. Preferred Experience with knowledge graphs and graph-based search. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook. Prior work on AI co-pilots, document summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client targeting, pitch preparation, and market monitoring. Data assets and ML models fully aligned with enterprise governance and architecture. Scalable AI platform that evolves with the pace of the business and innovation.Shape the future of investment banking with cutting-edge AI. Work at the intersection of technology, capital markets, and innovation. High visibility and impact across the front office and C-suite. Access to world-class data, partners, and AI infrastructure. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Business Analysis / Client Services Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.
Closing date: Sunday 19th April 2026 This is a unique opportunity for an experienced Policy lead to play a vital role in shaping ambitious solutions to halt and reverse biodiversity loss. Greenpeace UK is an independent national/regional organisation within the global Greenpeace campaigning network, which acts to change attitudes and behaviour, to protect and conserve the environment and to promote peace. The global network of Greenpeace organisations comprises 26 independent national/regional Greenpeace organisations with presence in over 55 countries across Europe, Africa, the Americas, Asia and the Pacific, as well as a coordinating and supporting organisation, Greenpeace International. Location: Islington, London . Our hybrid working model enables us to enjoy the benefits of both office based and remote working. We ask that staff work from the office in Islington 40% of their time each week as a minimum. Reasonable adjustments as well as specific office based needs will be considered for those with long term health conditions and disabilities. As our Biodiversity Policy Lead , you will power our campaigns with bold, innovative solutions to restore biodiversity by the end of the decade in a fair and equitable way. You will be at the heart of our biodiversity mission, helping us to think big about the solutions needed to meet the scale of the challenge we face. You will achieve this by: Driving bold, science-led policy solutions to restore nature at scale Providing strategic insight across UK and global campaigns Working closely with senior leaders, scientists and campaigners to provide strategic thinking, spot emerging issues and opportunities to advance our campaigns Responding rapidly to political and environmental developments Helping to influence public debate and decision-making at the highest levels About you You are a highly knowledgeable and strategic policy expert with a deep commitment to tackling the biodiversity crisis. You combine scientific understanding with political awareness, and you're motivated by the opportunity to turn complex challenges into bold, practical solutions. Essential criteria for success: Extensive knowledge and understanding of domestic and global nature policy, including key legislative processes, international agree and governance structures Significant experience of policy development and report writing based on research, analysis and science-informed policy development The ability to turn complex scientific or policy information into accessible, compelling briefings for a range of internal and external audiences Highly collaborative and adept at building strong, productive relationships with external stakeholders and internal colleagues in order to achieve change Demonstrable experience of monitoring the policy landscape and identifying emerging issues in order to provide expert advice and influence decision-making in fast-paced situations Proven track record of commitment to anti-racism and a strong understanding of how to embed equity, inclusion and anti-oppressive principles into policy solutions. We give you You'll be encouraged to develop both personally and professionally, taking advantage of the wide range of learning and development opportunities available to our staff. We offer great benefits such as a generous pension scheme, subsidised lunches, free yoga and a wealth of well-being resources, just to name a few. Take a look at our Work for Greenpeace pages to find out more about what it's like to work for us and why you should apply. Our commitment to diversity We acknowledge that people from certain backgrounds are under-represented in environmental and campaigning organisations and we're committed to doing what we can to correct this. One of our Anti Racism Plan objectives is to proactively achieve stronger representation of people of colour, particularly within leadership positions, and we have recently published ambitious race representation targets . As part of our commitment to increasing representation of people from underrepresented communities in the environmental sector, we are piloting a Guaranteed Interview Scheme (GIS) as a new approach to make our recruitment more equitable. If you identify as a person of colour, you can choose to opt in to the Guaranteed Interview Scheme. We will be aiming to offer everyone who opts into the scheme and meets the essential criteria a first stage interview. While we fully intend to honour this, exceptionally high application volumes may affect our capacity. If so, we will communicate clearly and keep candidates informed as we continue to learn and improve. To Apply For further information including the job description, please download the applicant information pack . Please ensure to save this file to your computer for future reference. Once the job listing has closed you will no longer be able to access it online. We recommend taking a look at this document that contains top tips for filling out your application , complied by our recruitment team. If you have any questions, please email us at . Please note that this email address is only for information. All applications have to be filled out on the website and cannot be submitted via email. Greenpeace UK is an inclusive and diversity-friendly employer. We value difference, promote equality and challenge discrimination, enhancing our organisational capability. We welcome and encourage applications from people of all backgrounds and do not discriminate on the basis of disability, race, colour, ethnicity, gender, religion, sexual orientation, age or any other category protected by law.
Apr 08, 2026
Full time
Closing date: Sunday 19th April 2026 This is a unique opportunity for an experienced Policy lead to play a vital role in shaping ambitious solutions to halt and reverse biodiversity loss. Greenpeace UK is an independent national/regional organisation within the global Greenpeace campaigning network, which acts to change attitudes and behaviour, to protect and conserve the environment and to promote peace. The global network of Greenpeace organisations comprises 26 independent national/regional Greenpeace organisations with presence in over 55 countries across Europe, Africa, the Americas, Asia and the Pacific, as well as a coordinating and supporting organisation, Greenpeace International. Location: Islington, London . Our hybrid working model enables us to enjoy the benefits of both office based and remote working. We ask that staff work from the office in Islington 40% of their time each week as a minimum. Reasonable adjustments as well as specific office based needs will be considered for those with long term health conditions and disabilities. As our Biodiversity Policy Lead , you will power our campaigns with bold, innovative solutions to restore biodiversity by the end of the decade in a fair and equitable way. You will be at the heart of our biodiversity mission, helping us to think big about the solutions needed to meet the scale of the challenge we face. You will achieve this by: Driving bold, science-led policy solutions to restore nature at scale Providing strategic insight across UK and global campaigns Working closely with senior leaders, scientists and campaigners to provide strategic thinking, spot emerging issues and opportunities to advance our campaigns Responding rapidly to political and environmental developments Helping to influence public debate and decision-making at the highest levels About you You are a highly knowledgeable and strategic policy expert with a deep commitment to tackling the biodiversity crisis. You combine scientific understanding with political awareness, and you're motivated by the opportunity to turn complex challenges into bold, practical solutions. Essential criteria for success: Extensive knowledge and understanding of domestic and global nature policy, including key legislative processes, international agree and governance structures Significant experience of policy development and report writing based on research, analysis and science-informed policy development The ability to turn complex scientific or policy information into accessible, compelling briefings for a range of internal and external audiences Highly collaborative and adept at building strong, productive relationships with external stakeholders and internal colleagues in order to achieve change Demonstrable experience of monitoring the policy landscape and identifying emerging issues in order to provide expert advice and influence decision-making in fast-paced situations Proven track record of commitment to anti-racism and a strong understanding of how to embed equity, inclusion and anti-oppressive principles into policy solutions. We give you You'll be encouraged to develop both personally and professionally, taking advantage of the wide range of learning and development opportunities available to our staff. We offer great benefits such as a generous pension scheme, subsidised lunches, free yoga and a wealth of well-being resources, just to name a few. Take a look at our Work for Greenpeace pages to find out more about what it's like to work for us and why you should apply. Our commitment to diversity We acknowledge that people from certain backgrounds are under-represented in environmental and campaigning organisations and we're committed to doing what we can to correct this. One of our Anti Racism Plan objectives is to proactively achieve stronger representation of people of colour, particularly within leadership positions, and we have recently published ambitious race representation targets . As part of our commitment to increasing representation of people from underrepresented communities in the environmental sector, we are piloting a Guaranteed Interview Scheme (GIS) as a new approach to make our recruitment more equitable. If you identify as a person of colour, you can choose to opt in to the Guaranteed Interview Scheme. We will be aiming to offer everyone who opts into the scheme and meets the essential criteria a first stage interview. While we fully intend to honour this, exceptionally high application volumes may affect our capacity. If so, we will communicate clearly and keep candidates informed as we continue to learn and improve. To Apply For further information including the job description, please download the applicant information pack . Please ensure to save this file to your computer for future reference. Once the job listing has closed you will no longer be able to access it online. We recommend taking a look at this document that contains top tips for filling out your application , complied by our recruitment team. If you have any questions, please email us at . Please note that this email address is only for information. All applications have to be filled out on the website and cannot be submitted via email. Greenpeace UK is an inclusive and diversity-friendly employer. We value difference, promote equality and challenge discrimination, enhancing our organisational capability. We welcome and encourage applications from people of all backgrounds and do not discriminate on the basis of disability, race, colour, ethnicity, gender, religion, sexual orientation, age or any other category protected by law.
We are looking for a Programme Manager to lead the management and strategic oversight of a select number of the Foundation's funded initiatives globally. Candidates must be open to a potential secondment to Singapore for circa 3 months, once per year Client Details This opportunity is with a newly established charitable foundation operating at the frontier of transnational research and precision care. Their mission is to support the discovery of novel care pathways that intervene before patients become sick, shifting the paradigm from reactive treatment to proactive, evidence-based prevention Description Project Management Lead the end-to-end management of a select number of the Foundation's funded initiatives, maintaining the depth of engagement needed to truly understand what is happening on the ground, overseeing progress against milestones, budgets, and agreed deliverables Develop and maintain robust programme management frameworks, ensuring consistency and rigour across all funded initiatives Be the driving force behind project delivery: identify risks, dependencies, and underperformance early, and work proactively with partners to resolve issues Oversee financial monitoring, reviewing partner financial reports and ensuring accountability Grantee & Partner Relations Serve as the primary point of contact for grantees and institutional partners under your coverage, cultivating trust-based, long-term relationships Conduct regular site visits to partner institutions, including international travel, to maintain close oversight and strengthen collaboration Opportunity to design and lead the Foundation's Principal Investigator symposium, bringing together funded researchers and institutional partners to share findings and foster collaboration Opportunity to design and lead the incubation of the Foundation's medical student fellowship programme, working across academic and clinical partners to design and operationalise the initiative Strategy & Learning Synthesise learnings and outcomes from your projects to inform the Foundation's grant-making strategy and future priorities Lead the development and implementation of monitoring and evaluation frameworks that can be used across the Foundation's projects, ensuring the Foundation can demonstrate impact with rigour Work closely with the Communications team to ensure your projects' activity is reflected coherently in the Foundation's external narrative Proactively identify and develop new project opportunities through the Foundation's network of institutional partners, physician-scientists, and researchers, and your own network, contributing to the pipeline of future grant-making activity. Organisational Contribution Contribute to the Foundation's wider strategic development Support the recruitment and development of more junior programme staff as the team grows Profile A successful Programme Manager should have/be: 8-15 years of experience in programme or project management, with a track record of managing complex, multi-stakeholder portfolios, ideally gained at least in part on the delivery side of a funded initiative Candidates in their early careers who are willing to step up to the challenges and grow are strongly encouraged to apply Experience working within or in close partnership with academic, clinical, research, non-profit, or healthcare related environments Strong financial acumen, with experience overseeing budgets and reviewing financial reporting from partners or grantees Experience designing or implementing monitoring and evaluation frameworks Proven ability to manage and influence senior stakeholders across institutional and cultural boundaries Willingness to undertake international travel, including potential secondments Job Offer A competitive salary and benefits package
Apr 07, 2026
Full time
We are looking for a Programme Manager to lead the management and strategic oversight of a select number of the Foundation's funded initiatives globally. Candidates must be open to a potential secondment to Singapore for circa 3 months, once per year Client Details This opportunity is with a newly established charitable foundation operating at the frontier of transnational research and precision care. Their mission is to support the discovery of novel care pathways that intervene before patients become sick, shifting the paradigm from reactive treatment to proactive, evidence-based prevention Description Project Management Lead the end-to-end management of a select number of the Foundation's funded initiatives, maintaining the depth of engagement needed to truly understand what is happening on the ground, overseeing progress against milestones, budgets, and agreed deliverables Develop and maintain robust programme management frameworks, ensuring consistency and rigour across all funded initiatives Be the driving force behind project delivery: identify risks, dependencies, and underperformance early, and work proactively with partners to resolve issues Oversee financial monitoring, reviewing partner financial reports and ensuring accountability Grantee & Partner Relations Serve as the primary point of contact for grantees and institutional partners under your coverage, cultivating trust-based, long-term relationships Conduct regular site visits to partner institutions, including international travel, to maintain close oversight and strengthen collaboration Opportunity to design and lead the Foundation's Principal Investigator symposium, bringing together funded researchers and institutional partners to share findings and foster collaboration Opportunity to design and lead the incubation of the Foundation's medical student fellowship programme, working across academic and clinical partners to design and operationalise the initiative Strategy & Learning Synthesise learnings and outcomes from your projects to inform the Foundation's grant-making strategy and future priorities Lead the development and implementation of monitoring and evaluation frameworks that can be used across the Foundation's projects, ensuring the Foundation can demonstrate impact with rigour Work closely with the Communications team to ensure your projects' activity is reflected coherently in the Foundation's external narrative Proactively identify and develop new project opportunities through the Foundation's network of institutional partners, physician-scientists, and researchers, and your own network, contributing to the pipeline of future grant-making activity. Organisational Contribution Contribute to the Foundation's wider strategic development Support the recruitment and development of more junior programme staff as the team grows Profile A successful Programme Manager should have/be: 8-15 years of experience in programme or project management, with a track record of managing complex, multi-stakeholder portfolios, ideally gained at least in part on the delivery side of a funded initiative Candidates in their early careers who are willing to step up to the challenges and grow are strongly encouraged to apply Experience working within or in close partnership with academic, clinical, research, non-profit, or healthcare related environments Strong financial acumen, with experience overseeing budgets and reviewing financial reporting from partners or grantees Experience designing or implementing monitoring and evaluation frameworks Proven ability to manage and influence senior stakeholders across institutional and cultural boundaries Willingness to undertake international travel, including potential secondments Job Offer A competitive salary and benefits package
