54 jobs found

We are currently seeking a Senior Data Scientist with a strong background in statistics to join our team. The role will be responsible for developing and implementing models for our energy supply business. As a Senior Data Scientist, you will work closely with our engineering team to ensure the accuracy and effectiveness of our models. Responsibilities: Develop and implement models for our energy supply business using Python and other data science tools. Identify, analyze, and mitigate credit risk. Conduct data analysis and modeling to support risk management decisions. Stay current with industry developments and regulations related to credit risk management. Minimum Requirements: 2+ years of experience as a data scientist. Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. Strong statistical and modeling skills. Strong communication and collaboration skills. Experience in the energy industry is a plus. Benefits: Competitive salary and a stock options sign-on bonus Biannual bonus scheme Fully expensed tech to match your needs! 28 days paid annual leave per year including public holiday

Who we are We are a London tech startup on the lookout for bright, motivated and self-driven individuals to join the team. Who you are You are a DevOps/Site Reliability Engineer with experience managing complex infrastructure and deploying scalable, reliable systems. You are passionate about automation, cloud technologies, and continuous improvement. Must have: Proven track record of managing cloud-based infrastructure (AWS, Azure, or GCP). Hands-on experience with infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation. Strong CI/CD pipeline design experience using tools like Jenkins, GitHub Actions, or GitLab CI. Proficiency in scripting languages such as Bash, Python, or Go. Experience with container orchestration tools such as Kubernetes, Docker Swarm, or HashiCorp Nomad. Excellent problem-solving, communication, and collaboration skills. Nice to have: Experience managing distributed systems, microservices, and event-driven architectures. Knowledge of observability tools such as Prometheus, Grafana, ELK Stack, or Datadog. Experience with security best practices, monitoring, and incident response. Familiarity with DevSecOps and compliance frameworks (ISO 27001, SOC 2, GDPR). Exposure to big data processing, ML pipelines, or simulation workflows. Bonus: Existing interest in data science and simulation workflows in the manufacturing, energy or chemical process industries; Experience with high-performance computing (HPC). What we do We are building what will become a leading industrial platform that empowers engineers and research scientists to solve pressing problems in energy efficiency, product design and reliability. We develop and support a product that connects simulations, data, and AI to empower large organisations when making informed decisions across the life cycle of engineered systems. Quaisr is an early stage startup backed by Crane Venture Partners (UK) and Acequia Capital (USA), along with international angel investors. We were founded on partnerships with leading engineering and research institutions including Imperial College London and The Alan Turing Institute. Our customers are early-adopter multinational organisations in the pharmaceuticals, fast-moving consumer goods, defence, and energy sectors. Where we operate Our office is in London (White City). This position is available full time in the UK. When we work We offer 25 days paid annual leave, in addition to UK bank holidays. What you will do Platform Operations (40%): Support the lifecycle of platform deployment, including provisioning, updating, monitoring, and scaling cloud infrastructure. Automation & Tooling (40%): Design and implement CI/CD pipelines, deployment automation, and system monitoring solutions. Technical Leadership & Documentation (20%): Create and maintain infrastructure documentation, contribute to technical blog posts, and mentor junior engineers. What we offer Salary range of £50,000 to £85,000 depending on experience. Development training and support to learn required technical skills. Employee stock options. New equipment: MacBook Pro, and work-from-home allowance. Opportunities to attend technical conferences. Flexible hybrid working environment, blending work from the office and home. Our hiring process (30 mins) Introductory call with Quaisr. This is a chance to learn about Quaisr and to check that our plans align with your own. We want to get to know you. (90 mins) Technical call with two Quaisr team members. We'll give you an opportunity to talk through a past programming experience, including taking us through some of your code. We want to learn more about you, and a little regarding how you think! (45 mins) Online coding exercise (with a Quaisr team member on the call) working on a practical task related to cloud deployment or automation. (45 mins) Follow-up with additional Quaisr team. You will meet your future team members and learn more about the role directly from us. Application instructions Please send a cover letter and CV to . Our policy on equality, diversity and inclusion Quaisr is committed to creating an environment where diversity is valued and everyone is treated fairly. We welcome applications from anyone who meets the specific criteria of the post regardless of age, disability, ethnicity, gender reassignment, marital or civil partnership status, pregnancy and maternity, religion or belief, sex and sexual orientation. Reasonable adjustments to the interview process can also be made for any candidates with a disability. One more thing If you have a compelling interest in our mission, and wish to propose a role that more closely matches your skill set, please get in touch.

Opportunity to lead a team of Data Scientists and lead on Data Science Strategy Opportunity to join an organisation which is highly adoptive of Data Science About Our Client The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards Job Description Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan Lead and manage the Data Science department, ensuring the delivery of high-quality data insights. Develop and implement data science strategies to support organisational objectives. Collaborate with cross-functional teams to identify and solve complex data challenges. Oversee the design, development, and deployment of predictive models and algorithms. Ensure compliance with data governance and ethical guidelines in all analytics activities. Provide mentorship and professional development opportunities for team members. Communicate findings and actionable insights to senior leadership and key stakeholders. Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data Develop appropriate analytical methods in firm-based risk assessment and thematic risks Provide internal consultancy across Directorates and Programmes on analytical methods and techniques Stay informed about industry trends and emerging technologies in the public sector. The Successful Applicant A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs Excellent leadership and team management skills. A solid understanding of data governance and ethical considerations. Outstanding communication skills to present complex data in an accessible manner. A degree or equivalent qualification in data science, mathematics, or a related field. Demonstrated ability to collaborate across departments and with senior stakeholders. What's on Offer Competitive salary range of £65,000 to £77,000 (London) per annum. 25 days of annual leave, increasing to 27 after 2 years of service. Generous pension contributions (up to 19.25%). Income protection, life assurance and Private Medical benefits. 3% of annual salary available for additional benefits, including dental insurance and travel insurance. Opportunities to work on meaningful projects within the public sector in Birmingham. Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT's transformative approach, using Whole Genome Sequencing (WGS) and Oracle's cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking a highly skilled and collaborative (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organization Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands on experience developing computational methods for next-generation sequencing data Significant experience with methods for efficient storage, search and assembly of DNA sequences (e.g. hashing, Burrows Wheeler transform, De Bruijn graphs, embeddings and tokenization) and pan genomes Proficient in the use of command line interfaces, low and high level programming languages (e.g. Python, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long read sequencing data (ONT) Experience with bioinformatics workflow frameworks (e.g. Nextflow) and cloud compute environments (e.g. OCI, AWS, GCP) Familiarity with Bayesian methods, machine learning, or causal inference in the context of biological data Contributions to open source bioinformatics software Previous experience mentoring or line managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail oriented with a commitment to reproducibility and benchmarking Comfortable in a fast paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income ProtectionPrivate Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

About EIT The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. EIT is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone's experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. About Economics Economics at EIT is recruiting for a number of outstanding, full-time Post-doctoral Research Fellows dedicated to developing the economic case for transformative solutions to humanity's greatest challenges, using pioneering theoretical and empirical research to support global solutions. This is an exciting opportunity to join a new and rapidly expanding group, under the leadership of Professor Andrew J. Scott, that will tackle frontier issues in the economics of health and work. The EIT offers a stimulating research environment that focuses on both fundamental research as well as applied solutions - rethinking policies, institutions and economic thinking to build the economic foundations for a better future. You will be part of a large and expanding Economics team with strong links to a world-class AI team and access to large-scale datasets. Researchers will have the opportunity to work with a faculty of global academic experts producing research aimed at shaping government policies and creating successful commercial products. You will be part of a cohort of Post-Doctoral Fellows and Pre-Doctoral positions. Positions are full-time and are for one and two-year duration, potentially renewable for further terms, subject to performance, with the option to rotate across projects. With the opportunity to mix with leading academics across a range of institutions and participate in the research networks of academics and policymakers operating out of EIT these positions offer a unique track for establishing credentials for further research or for providing a springboard for a career in policy or business. About the Role The projects cover a range of theoretical and empirical issues with Researchers being allocated depending on their strengths and interests. You will work closely with leading academic and policy experts on the issues and be expected to take the lead on driving research forward and coordinating with Pre-Doctoral Researchers: Empirical modelling of the links between biology, health, disease and economic outcomes (e.g. labour force participation, earnings, occupational choice, retirement, etc). Constructing micro-founded models to evaluate the macroeconomic case for preventative health. Developing effective measures of health using large, novel datasets and identifying key causal factors via quasi-experimental techniques that would deliver effective prevention programmes. Work on theoretical models evaluating the welfare gains of better health, developing measures to improve the allocation of health resources. Using economic approach to develop recommendations to measure and improve health systems productivity. How might AI and robotics and demographic trends affect future economic forecasts for GDP, productivity and employment? What implications might these dynamics and transitions have for public finances? Skills Required A PhD (or due to complete in 2026) in Economics, or related discipline with research relevant to theoretical modelling (micro, macro or health), applied micro econometrics and large data skills. Evidence of intellectual excellence and the ability to work independently. A strong technical skillset - theoretical modelling, econometric application, experience with large datasets, etc. The ability to deliver as part of a wider project team and to coordinate researchers and data work A creative approach to problem-solving and the ability to project manage. Working across broad scientific missions to identify and solve different economics problems. We expect the Post-Doctoral Fellow to pursue independent high-quality research, working closely with senior colleagues in the Economics Department, while fostering collaboration and opportunity for applied economics research across the wider EIT Programmes. We do not require candidates with knowledge of health economics but a general emphasis on economic thinking and strong technical skills that can be applied to specific research projects and more broadly. Application Requirements Applications are welcome from candidates both within the UK and internationally. Please note that any offer of employment is contingent upon the candidate's eligibility to work in the UK. Role Duration Positions are available for one-year and two-year terms. Fellows will be appointed on a full-time basis, with contracts renewable annually. A minimum commitment of two years is strongly preferred. Required Application Materials Curriculum Vitae (CV) Job Market Paper Cover Letter Two Letters of Reference We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!

Salary: From £50,000 per annum DOE Location: Remote with flexible working arrangements, all UK based locations considered. Our flexible office collaboration spaces, for those wishing to use them, are in Birmingham, Bristol, Exeter and London Term/Hours: Permanent. 32-40 hours per week, with flexibility over working pattern - please state in your application. Closing Date for applications: Monday 5th January 2026 CVS FROM RECRUITERS (INCLUDING THOSE ON OUR PSL) WILL NOT BE ACCEPTED - DIRECT APPLICATION ONLY About the Role We are looking for an experienced Senior Python Developer (or someone operating close to senior level) to take a leading role in designing, implementing, and maintaining high-quality Python-based software. You'll collaborate closely with data scientists, engineers, and domain experts to turn complex analytical requirements into reliable, maintainable software within a supportive, high-performing team. Design, build, and improve Python applications that support modelling, simulation, optimisation, and data processing. Lead on engineering decisions, architecture discussions, and technical problem solving. Translate analytical or modelling needs into efficient production-ready software. Ensure high code quality through testing, documentation, and code reviews. Work collaboratively across disciplines to integrate tools and deliver results. Contribute to continuous improvement of tools, processes, and engineering standards. Take ownership of deliverables and help drive project success with urgency and accountability. About us City Science is an SME founded in 2015 with a core mission of delivering decarbonisation. We help organisations who are committed to decarbonisation achieve meaningful and quantifiable carbon reductions quickly and efficiently. We work collaboratively across our business to provide integrated solutions to our clients. Our range of clients is extensive, having worked for major national bodies such as DESNZ, the Climate Change Committee (CCC), and a range of forward-thinking local authorities such as Oxfordshire County Council. We work closely with our award-winning research, software and product development team who produce innovative and uniquely insightful digital tools, like our GIS software, Cadence, to successfully deliver our projects. Essential Strong professional experience as a Python developer, operating at or near a senior level. Excellent proficiency in Python and its ecosystem (libraries, tooling, best practices). Experience building production-grade applications, ideally within data-rich or scientific domains. Ability to write clean, maintainable, well-tested code. Strong problem-solving skills and the ability to communicate technical concepts clearly. Experience working collaboratively in multidisciplinary teams. Desirable Experience with geospatial tools (e.g., GeoPandas, Shapely). Familiarity with scientific computing, simulation, or optimisation libraries. Cloud experience (AWS, Azure, GCP). Understanding of decarbonisation, energy systems, or transport modelling. Aligned to Our Values Excellence: Commitment to high standards in your code, solutions, and engineering decisions. Ownership & Accountability: You take responsibility for outcomes and proactively drive progress. Data Driven: You use evidence, analytical thinking, and testing to guide choices. Results Orientated: You focus on delivering meaningful outputs that create real-world impact. Adaptability & Learning: You embrace change, seek out new knowledge, and learn quickly. Passion & Urgency: You care about what you build and work with purpose to achieve it. Meritocracy: You value competence, fairness, and helping raise the bar across the team. Entrepreneurial: You're resourceful, creative, and eager to contribute ideas that move the business forward. What We Offer Fully remote working, supported by optional access to co-working hubs across the UK-use them whenever you prefer. Flexible working hours to support work-life balance. Opportunity to join a talented, friendly, and supportive team of engineers, data scientists, and domain experts. Work on impactful projects in the decarbonisation and sustainability space. Real opportunities to grow, learn, and shape the direction of exciting new products and capabilities. 25 days annual leave entitlement, plus bank holidays Buy/Sell annual leave policy Membership of our group pension scheme Enhanced maternity and paternity policy Eye care policy Cycle to work scheme Employee assistance program Application Process Please include: Your resume highlighting relevant backend and testing experience Examples of projects demonstrating your technical skills Links to relevant code repositories or portfolio work Good luck!

Job Sector: TransportInfrastructureDefenceEnergyCross Sector At Movar, we understand that project delivery is getting increasingly complex. Since 2013, we've been helping companies of all sizes improve the way projects are delivered. Our mission is to be the number one provider of innovative project solutions, driven by a community of experienced, caring, and passionate project professionals-all seeking to improve the way projects are delivered. Our vision is simple yet powerful: to improve the lives of people everywhere through the delivery of projects. We provide tailored services ranging from organisational systems implementation to project transformation and complete programme recovery. We're proud to have been named Winners of the Global Project Controls Innovation of the Year Award 2024. Why Join Movar? Movar is in an exciting period of growth, and there's never been a better time to be part of our journey. We're building something special-scaling our business while staying true to our people-first approach. At Movar, we invest in our teams, fostering an environment where development is valued and individuals are encouraged to grow with the company. Our unique culture sets us apart from other consulting practices, and we're keen to build a team that is as ambitious as we are. Our IDEAL Values: Integrity - We do the right thing, always. Drive - We push boundaries and strive for excellence. Empathy - We care deeply about our people and clients. Adaptability - We embrace change and thrive in it. Loyalty - We stand by each other and our mission. Job Summary. We are seeking a Principal AI Engineer with exceptional technical expertise and leadership capabilities to drive our artificial intelligence initiatives forward. This role is ideal for a technical visionary who combines deep expertise in AI, machine learning, and software engineering with the ability to lead cross-functional teams and shape technical strategy. The ideal candidate will drive innovation by architecting cutting edge agentic AI solutions, leading technical teams, and establishing Next Practice for AI development across the organisation and industry. This is a high-impact role that requires both technical excellence and leadership acumen to shape the future of AI within our company and mentor the next generation of AI engineers. Key Responsibilities. Technical Leadership & Architecture: With Pillar Lead, define and execute agentic strategy for Movos platform. Lead the design of scalable, robust agentic and data architectures that align with business objectives. Establish technical standards, next practice, and development methodologies for AI/ML projects. AI/ML Development & Innovation: Lead the development of advanced AI/ML models and systems, from research through to production deployment. Drive innovation in machine learning algorithms, neural networks, and emerging AI technologies including generative AI and multi modal systems. Oversee the implementation of MLOps pipelines, model monitoring, and automated deployment systems. Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and data engineers. Foster a culture of technical excellence, continuous learning, and innovation within the Agentic Engineering team. Collaborate closely across pillars to deliver impactful AI solutions. Research & Development: Stay at the forefront of AI research and emerging technologies, evaluating and integrating cutting edge techniques into our technology stack. Contribute to open source projects and represent the company at technical conferences and industry forums. Drive proof of concept initiatives and experimental projects to explore new AI capabilities. Technical Governance & Quality: Establish robust testing frameworks, performance monitoring, and quality assurance processes for AI systems. Ensure AI solutions meet enterprise standards for reliability, scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks (TensorFlow, PyTorch, Scikit Learn, Transformers), cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision, or reinforcement learning. Engineering Excellence: Proven experience building production scale AI systems with focus on performance, reliability, and maintainability. Expertise in software architecture, distributed systems, and DevOps/MLOps practices. Leadership & Collaboration: Demonstrated ability to lead technical teams, drive consensus on technical decisions, and collaborate effectively across departments. Experience mentoring engineers and fostering technical growth. Innovation & Problem Solving: Track record of solving complex technical challenges and delivering innovative AI solutions that create measurable business impact. Qualifications & Experience. Demonstrable experience in AI/ML engineering, with at least 2 years in a senior technical leadership role. Master's or post graduate degree in Data Science, AI Engineering, or related fields requiring statistical rigour. Master's or PhD in a technical field requiring statistical rigour. Proven track record of leading the development and deployment of production AI systems at scale. Strong publication record or contributions to open source AI projects preferred. Experience with modern software development practices including CI/CD, testing frameworks, and agile methodologies. Office Address : Unit 3 Knot House, 6 Brewery Square, London SE1 2LF Movar Group Limited is registered in England and Wales number: VAT No: GB

Job description 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. Technical Product Discussions: 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: 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 in monitoring 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. We focus on four therapeutic areas: respiratory . click apply for full job details

About Us At data drives our decisions. Technology is at our core and innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place, the excitement of the next morning, the friends you encounter, the journeys you take, the sights you see, and the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. From our hubs in Manchester, London and Amsterdam, our Trips Business Unit helps people get where they want to go anywhere in the world. Whether customers want the freedom of a car, the convenience of a flight, the ease of a taxi or the economy of public transport, we make it all possible. Our team is passionate about helping people travel. They see challenges as opportunities and they're always ready for change. We're invested in making the connected trip work for our customers, offering the best and most relevant products with a booking experience to match. We cater for people that are just starting their research and those that are complementing their existing journey, keeping the customer front of mind in all decisions, tailoring inventory and pricing options to ensure you book the best product for your needs at the best price possible. Role Description This role is for a Data Analyst II, working within the Trips Data Science & Analytics (DS&A) team, reporting directly to the Senior Manager of DS&A in Manchester. The successful candidate will be involved in various stages of data solutions, from ideation to implementation. You will work independently on data consumption and preparation, effectively solving business problems through data analysis, insight generation and reporting. This role involves looking across the full spectrum of our trips products, considering how we might improve the customer experience by combining data from multiple sources. You are expected to continuously learn, expand your technical competencies, engage with peers, and understand the larger data ecosystem and the goals for Trips as a whole. You are also responsible for ensuring the quality of your work through peer review. The successful candidate will collaborate with the wider trips DS&A across the trips verticals, helping steer decision making through relevant and actionable data insights and innovative new ways of looking at our business. You will closely collaborate with other analysts, data scientists and machine learning scientists to develop strategic insights, uncover growth opportunities and identify key drivers of booking trends. Key Responsibilities Own the design and delivery of entire Data Analytics solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently. Work autonomously on consuming data, preparing it for analytical use, translating business problems to data stories and leveraging input from business stakeholders to determine the right technical solutions to deliver customer value. Leverage previous knowledge, experience and substantial skills in data analysis and data visualization to answer business questions efficiently. Create intuitive and insightful visualizations that translate data into actionable insights. Identify and manage stakeholders in operational, project-based and managerial roles; communicate effectively, address stakeholder needs, and convey complex analysis results clearly. Begin to guide junior colleagues in stakeholder engagement. Adapt existing internal and external Data Analytics approaches, propose and spot opportunities to apply new approaches, and expand technical competencies for more efficient solutions. Collaborate with peers in related crafts (e.g., Data Engineering), anticipate data needs to ensure smooth progress of their projects, and ensure quality of own work through peer review. Influence business decisions within the product team. Qualifications & Skills Master's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Econometrics, Computer Science, Physics, Engineering, Bioinformatics, or similar) PhD or 3+ years of experience Experience solving real problems using data mining techniques with statistical rigor Able to weave a narrative when presenting data Strong experience of using insights from disparate data sources Demonstrates strong ownership, stakeholder management and prioritisation skills Strong analytical skills with commercial acumen, ability to find opportunities and threats Strong technical skills (Hadoop, R, SQL, Python, Excel) Tableau skills would also be beneficial Able to balance the need for accuracy and efficiency Able to distil and relay complex technical information to a non-technical audience Benefits & Perks - Global Impact, Personal Relevance Annual paid time off and generous paid leave scheme including parent, grandparent, bereavement and care leave Hybrid working with flexible arrangements and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and wallet credit Competitive compensation and benefits package Inclusion at Inclusion has been a core part of our company culture since day one. Our ongoing journey starts with our employees who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. As Chief People Officer Paulo Pisano states: "At the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech." We ensure colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions and to receive other benefits and privileges of employment. Application Process Let's go places together: How we Hire This role does not come with relocation assistance. is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high fidelity, multi physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. Note: We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour of physical systems using state of the art machine learning and deep learning techniques. Own research work streams at different levels, depending on seniority. Discuss the results and implications of your work with colleagues and customers, especially how these results can address real world problems. Collaborate with colleagues beyond the research team to translate your models into production ready code. Communicate your work to others internally and externally as called for in paper publication venues, industry workshops, customer conversations, etc. This will involve writing for academic and non academic audiences. Foster a nurturing environment for colleagues with less experience in DS / ML / Stats for them to grow and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep learning and/or probabilistic methods, for science and engineering. Ability to scope and effectively deliver projects. Strong problem solving skills and the ability to analyse issues, identify causes, and recommend solutions quickly. Excellent collaboration and communication skills - with teams and customers alike. PhD in computer science, machine learning, applied statistics, mathematics, physics, engineering, or a related field, with particular expertise in any of the following: operator learning (neural operators), or other probabilistic methods for PDEs; geometric deep learning or other 3D computer vision methods for point cloud or mesh structured data; generative models for geometry and spatiotemporal data (VAEs, Diffusion Models, Bayesian non parametric, scaling to large datasets, etc.). Ideally, >2 years of experience in a data driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high dimensional data (spatiotemporal, geometric, physical); iterating on network architectures and model structure, tuning and optimising for inductive biases, improved generalisability, and improved performance; combining theoretical reasoning with empirical intuition to guide investigation; formulating and running experiment pipelines to benchmark models and produce comparable results; writing skills for communication complex technical concepts to peers and non peers, tailoring the message for the required audience. Publication record in reputable venues that demonstrates mastery in your field, and in particular the domains of interest listed above. Desirable venues include (but not limited to): NeurIPS, ICML, ICLR, UAI, AISTATS, AAAI, Siggraph, CVPR or TPAMI/JMLR. What we offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

AI Engineer (PhD) - Series A DeepTech AI Company About the Company Our client is a cutting edge deep tech start up that's redefining how enterprises leverage artificial intelligence to automate complex analytical workflows. Having completed a successful Series A funding round, they are rapidly scaling their technology and delivery teams to meet strong enterprise demand. Their mission is to replace traditional, fragmented analytics processes with intelligent AI powered digital workers-autonomous systems that can perform advanced analytics, data science, and decision making tasks continuously, accurately, and at scale. The Role You'll collaborate with senior stakeholders, data scientists, and product teams at some of the world's most recognized enterprises-translating complex business problems into elegant, scalable AI solutions. What You'll Do Lead the design and delivery of agentic AI systems and LLM based workflows for top tier enterprise clients. Partner directly with technical and business teams to identify pain points and architect high impact AI driven solutions. Build and deploy production grade systems leveraging LLMs, RAG pipelines, multi component AI programs (MCPs), and agent frameworks. Conduct applied research to solve novel, previously unseen problems-bringing cutting edge innovation from concept to production. Contribute to internal research initiatives and thought leadership, shaping the evolution of AI automation in enterprise contexts. What You'll Bring PhD in a STEM field (Computer Science, Machine Learning, Mathematics, Physics, or related discipline). Your research background enables you to tackle complex, ambiguous problems with scientific rigor and creativity. Proven hands on experience building and deploying LLM based or agentic systems in production environments. Strong understanding of RAGs, MCPs, and scalable AI architectures. A forward deployed engineering mindset-comfortable engaging directly with clients to understand business needs and deliver measurable results. Excellent communication and problem solving skills, with the ability to translate between technical and commercial perspectives. Why Join Be part of a fast growing Series A company that's transforming how enterprises use AI. Work on real world, high impact AI projects with globally recognized clients. Collaborate with some of the brightest minds in AI and applied research. Join a culture that prizes curiosity, ownership, and performance-where winning as a team is the ultimate goal.

About the Programme Our mission is bold: to generate data at scale to address fundamental questions about the diversity of life at the genomic level. Our world class programme merges large scale data generation with focussed analysis of pattern and process in evolution, delivering to overarching goals of conservation of biodiversity, fueling a biotechnological progress and contributing to the health of human societies. Who We're Looking For We're seeking an exceptional researcher whose ambitions depend on diverse eukaryotic genomes and large scale analysis. We anticipate recruiting in one of the following areas: Cell atlasing across biodiversity: The Biodiversity Cell Atlas is a growing initiative that aims to use the technologies pioneered by the Human Cell Atlas (and colleagues in the Cellular Genetics Programme at Sanger) to profile species across the eukaryotic tree using single cell functional genomics methods to reveal cell type orthology, discover the origins of distinct cell types and reveal the regulatory systems that generate this diversity. Phylogenomics at megascale: devising algorithms, engineering toolkits and reconstructing phylogenetic relationships of genes and species, exploiting the power of reference quality genomes. Biodiversity AI: Deploying AI to discover fundamental rules of genome organisation across diversity, including gene structure and regulatory system prediction. Direct application of biodiversity genomics data: in conservation, landscape ecology, bioengineering or any other field with clear impact on ongoing problems humanity is facing. If you are not sure whether your research objectives would fit into the Tree of Life, please do get in touch with Mark Blaxter to clarify. Location and Community The Wellcome Sanger Institute is located in the centre of the largest scientific and startup cluster in Europe and combines the scientific innovation of Cambridge with the business and cultural ambition of London. We care about the long term translation and impact of our research. We welcome applicants from clinical, industry, or non traditional career paths. We particularly encourage applications from women and individuals from underrepresented backgrounds. We believe our science is enriched by a diversity of perspectives and experiences. Role We intend to recruit at the Group Leader 2 (equivalent to associate professor) or Group Leader 3 (equivalent to full professor) level. These positions are designed for established scientists and offer a very substantial core package, including a competitive salary and continuous internal funding that enables the pursuit of ambitious, large scale research without the need for external grants. Faculty at the Institute are supported by outstanding scientific, technical, and operational teams, allowing them to focus on impactful research and leadership. You will have the opportunity to mentor and develop a growing team within a supportive and collegial environment where collaboration, well being, and inclusion are prioritised. Group Leader 2 (GL2) Mid career (Associate Professor). Lead a growing core funded team, shape programme strategy, and drive large scale discovery. Eight year post with review in year six leading to promotion to GL3 or departure by year 8. Group Leader 3 (GL3) Senior leadership role (Full Professor) helping to shape Sanger's long term research strategy. Ongoing appointment with six year rolling reviews. Global research leaders are encouraged to apply. Why Join Us? Substantial, Sustained Core Funding: Focus on the science that matters, not grant cycles. Launch long term, high impact research. Scale + Technology: Unmatched access to high throughput science platforms, Scientific Operations, and Informatics infrastructure. A Truly Collaborative Culture: Work side by side with leading genomics experts in an environment built for cooperation, discovery and translational impact. A Supportive, Inclusive, and Flexible Workplace: Relocation and visa support, mentorship, flexible working, family friendly policies, and a campus dedicated to well being and scientific excellence. A Global Science Hub: Benefit from the dynamic, international, and high impact innovation landscape of Cambridge and London. Application Process Your application should include: CV and full publication list + 3 referees. Cover letter summarising your scientific leadership and wider contributions (including diversity and inclusion initiatives, mentorship and public engagement). Research vision addressing a fundamental problem (3 pages + 250 word abstract) demonstrating: Fit with our programme (direction, ambition and scale, explaining why Sanger is the right environment). >What you'll do at Sanger that can't be done elsewhere. Interview Process We believe recruitment should be supportive and transparent. You'll meet with teams across science, strategy, and operations to explore Sanger's full potential. Our process includes: Scientific Talks (on past and future research). Panel interview based on leadership, collaboration, and core behavioural competencies. Stakeholder 1:1 meetings with Group Leaders and Programme leads. We understand balancing career opportunities with personal commitments can be challenging, and our process is designed to be flexible and supportive. Ready to Redefine What's Possible in Biology? Join us at the Wellcome Sanger Institute and be part of a transformative, AI powered future for life sciences. Help build the next era of synthetic genomics in an environment where your science, your voice, and your career are valued. Closing date: 08 February 2026 Equality, Diversity and Inclusion We aim to attract, recruit, retain and develop talent from the widest possible talent pool, thereby gaining insight and access to different markets to generate a greater impact on the world. We have a supportive culture with staff networks for LGBTQ+, Parents and Carers, Disability and Race Equity. We will consider all individuals without discrimination and are committed to creating an inclusive environment for all employees, where everyone can thrive.

About the team Q-CTRL's Quantum Sensing Research team performs basic and applied research in quantum sensing and quantum-enabled navigation. It is a highly dynamic team comprising approximately 30 specialists in theoretical and experimental atomic physics, cold-atom interferometry, navigation modelling, and modern Bayesian estimation and signal processing techniques. The Quantum Sensing Research and Quantum Sensing Engineering teams work closely together, translating novel quantum sensing research into a useful capability and product. We are focussed on pushing the boundary of what is possible in quantum sensing and ensuring our R&D has real-world impact. About the role This role aims to perform essential research and development into next generation quantum sensors. The role will be working on control solutions, control system development, and classical and quantum sensor fusion algorithms to enhance the performance of real-world quantum sensors using atom interferometry. This will involve developing novel simulation tools and partnering with experimental physicists to perform data analysis for assessing sensor performance in real-world environments and demonstrating your new methods function. Additionally, you will contribute to the efficient and effective functioning of Q-CTRL. This will sometimes include helping out regardless of boundaries of responsibility to help us achieve our mission of making quantum technology useful. What you'll be doing: Perform essential research and development into novel quantum control solutions and sensor fusion algorithms to enhance the performance of real-world quantum sensors (including atom interferometers and magnetometers). Develop theoretical models and numerical simulation tools suitable for assessing the performance of quantum sensors in real-world environments. Analyse sensor performance in realistic environments and apply optimization and machine learning techniques for performance enhancement. Work closely with our quantum control engineers, experimental physicists, and sensor hardware specialists to deploy your developed quantum control and sensor fusion protocols on real quantum sensor hardware. Collaborate with your colleagues in the Quantum Sensing (Modelling) Team, the Quantum Sensing Division, and the company more broadly. Share your insights into control-augmented quantum sensing with the broader Quantum Sensing Division, company, external stakeholders and customers through verbal presentations and written outlets (e.g. academic publications, technical reports, blog posts). Other duties within the Employee's skills and experience, or with reasonable training. Ideally you'll have: A PhD in Physics, Engineering or a closely related discipline. Experience in the theory, numerical modelling, and/or optimization of one or more of the following: Atom interferometry, Cold and/or ultracold atomic systems, Quantum sensing in warm atomic vapours, Pulse-level optimisation and quantum control techniques. Strong desire to work with a world leading team and a company that is fundamentally building the future of the quantum technology industry. Bonus points if you have (but not essential): Expertise with Python programming language for scientific computing. Experience modelling real quantum experiments/hardware and working closely with both theoretical and experimental teams. Demonstrated experience in improving experimental outcomes through novel signal processing or denoising algorithms. About Q-CTRL Q-CTRL is the global leader in AI-powered quantum control infrastructure software. We build the tools that make quantum technology useful, solving the hardest challenges in quantum computing and quantum sensing to deliver real-world impact. Founded in 2017, we operate globally with offices in Sydney, Los Angeles, San Francisco, Berlin, and Oxford. Our teams bring together technical and multi-disciplinary expertise across the product lifecycle, and we're hiring talent to help scale every part of the business. We work quickly to turn cutting edge science into deployable technology. In 2024 we raised US$113 million in Series B funding, the largest aggregate investment for a quantum software company. Six months later we delivered the first commercial quantum advantage with Ironstone Opal, our field validated quantum navigation solution for defense and industry. At Q-CTRL, we prioritize outcomes over hours. We offer flexibility, equity potential, and competitive benefits that reflect our high-performance culture. If you're ready to help shape the future of quantum, we'd love to hear from you!

About The Role Taktile exists to create value for organizations through smarter and safer decisions at scale. Our goal is to become the world's leading software provider for automated decision-making in the financial services industry and, to date, our software has been used by our customers to power over 1'000'000 critical business decisions every day. Taktile is based in Berlin, London and New York City. Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath. We're backed by some of the world's leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more customers. That's where you come in. As a Senior Solutions Engineer, you are core to our mission of transforming our customer's decisioning infrastructure - helping them optimize and automate complex, critical business decisions using state-of-the-art technology, including the latest advances in AI You will work in partnership with Taktile's Sales Team and are making sure our customers get value from Taktile throughout their entire lifecycle. You are a trusted advisor to our customers and help them achieve their strategic goals and realize value by using Taktile in their decisioning tech stack. If you are passionate about cutting-edge technology, stay up to date on the latest AI developments, and have a few years of hands on experience with Python, APIs, and modern AI models in customer-facing environments - all while thriving in a an awesome team that empowers you to grow, then we think you'll love this job! About You You know how to build strong customer relationships with stakeholders across different levels of seniority and including both technical stakeholders in an organization (e.g. Principal Engineers, Data Scientists) as well as business stakeholders (e.g. Risk Managers, Credit Analysts). You have intermediate-level Python skills and are comfortable writing, testing, and debugging code in customer-facing or production adjacent environments. You are curious and customer centric. You enjoy learning about our customers' and prospects' businesses and helping them solve challenges. You are able to plan and manage project scope, expectations and timelines. You will need to manage multiple projects across customers that will be at different parts of their journey with Taktile. You are humble and have a growth mindset, with a willingness to learn new skills and methodologies and bring best practices into our business. You are collaborative and work well with your peers in Marketing, Sales, Product, Engineering and the Customer Success team. You are creative and proactive - you're always looking for ways to stand out with customers and prospects. You have excellent written and spoken English. What You'll Do You discover and translate customer's strategic priorities and problem statements into high impact use cases leveraging Taktile during the sales process and throughout the entire customer value journey including adoption, expansion and renewal. You lead the design and execution of proof of value projects that combine customer data, ML/AI models, and Taktile's platform to demonstrate strategic ROI. You build technical prototypes and demos leveraging the Taktile platform that simulate production grade integrations and workflows. You collaborate with partners and customers to design and build solutions in Taktile's Decisioning Platform. You lead proof of value projects and can communicate the value opportunity of a full implementation and the corresponding strategic roadmap to senior stakeholders up to C level executives. You onboard and work with various of our customers' teams (domain experts, product, engineering, data science) to help them solve real world problems. You understand people and technology, and are proficient and diligent in writing and testing Python code, and committed to providing an excellent experience and fast time to value to Taktile's customers. You work with product management to translate your knowledge of customer problems into product insights to shape Taktile's product roadmap. You create re usable collateral, best practices & tools to help scale your knowledge and expertise across the solution engineering function. You lead the discovery for new use cases and implement them on the platform to assess product solution fit. You provide feedback to our product team and share results of your discovery with go to market functions. Ideal, But Not Required Live for Customer Value: You have at least 3-5 years of experience working within Enterprise/"high touch" Solution Engineering, as a technical Customer Success Manager/Engineer in a B2B SaaS company or as (Technical) Senior Consultant. Technical expertise: You have a general understanding of REST APIs (design, integration, authentication) You have experience building, tuning, or deploying ML models (e.g., scikit learn, XGBoost, PyTorch, TensorFlow) in production settings Experience with AI use cases in financial services (e.g. fraud detection, credit scoring, underwriting) is a strong plus. You are comfortable explaining how a model works to both a technical stakeholder such as a CTO and domain experts such as Credit Risk Managers You have acquired domain expertise in the financial services industry (banking, insurance, capital markets, payments, etc.). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here Make an impact and meaningfully shape an early stage company Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top of market equity and cash compensation package Get access to a self development budget you can use to e.g. attend conferences, buy books or take classes. Use the equipment of your choice including meaningful home office set up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears About Us Taktile helps financial institutions make smarter, safer decisions with the power of AI. Our software gives teams the tools to automate complex decisions - like who to onboard, how to underwrite, or when to flag suspicious activity - with full visibility and control. By combining AI with a rich ecosystem of financial data, Taktile enables companies to adapt their decision making in real time as markets, customer behavior, and risks evolve. Our mission is to build the world's leading platform for automated decision making in financial services - setting the standard for how AI is applied responsibly and effectively in this industry. We were founded by machine learning and data science experts with deep experience in financial services. Today, our team works across Berlin, London, and New York, bringing together engineers, entrepreneurs, and researchers from companies like Google, Amazon, and Meta, as well as fast growing startups and enterprise leaders. Backed by top investors including Y Combinator, Index Ventures, Balderton Capital, and Tiger Global, along with the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath - we're building a world class organization across all functions and levels to power the next generation of AI driven decision making in financial services.

At the Wellcome Sanger Institute, we're shaping the future of biology - and we're looking for collaborative, creative, and visionary scientists to help lead the way. We're hiring a new Junior Group Leader to join our pioneering , where molecular biology meets AI.Our mission is bold: to generate data at scale to train the next generation of AI models to make molecular biology predictive and programmable. Our world-class programme merges large-scale data generation with artificial intelligence and cutting-edge synthetic genomics. You'll join a group of creative faculty including and , with an incoming senior group leader in AI/machine learning and strong links across the Institute's diverse programmes - and - as well as with Sanger and . We're driving a transformation in biological data generation, design and synthesis. If you're excited by ambitious science and want to work in an environment that values diverse perspectives and inclusive collaboration, we want to hear from you. Group Leader 1 (GL1): Your first or second group leader role (equivalent to Assistant Professor US / Lecturer UK). Eight-year post, core funded beyond a typical ERC or R01 grant with additional access to funds for large strategic projects. Launch your vision with the freedom to innovate at scale.Mid-career (Associate Professor). Lead a growing core-funded team, shape programme strategy, and drive large-scale discovery. Eight-year post with review in year six. Group Leader 3 (GL3): Senior leadership role (Full Professor) helping to shape Sanger's long-term research strategy. Ongoing tenure with six-year rolling reviews. Global research leaders are encouraged to apply. Group Leader 2 (GL2): Scientific Talks (past and future research) Panel Interview based on leadership, collaboration, and core behavioural competencies Stakeholder 1:1s with Group Leaders and Programme leadsSanger Institute became a signatory of the International Technician Commitment initiative In March 2018. The aims to empower and ensure visibility, recognition, career development and sustainability for technicians working in higher education and research, across all disciplines. BenefitsWe offer an attractive benefits package at the Wellcome Sanger Institute. We appreciate the importance of achieving work-life balance and support this with a number of family and carer-friendly policies. Plus a flexible working policy for those who may wish to amend their working pattern or arrangement.

Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $213.9 billion and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at As at 30 September 2025 About Man AHL Man AHL employs diversified quantitative techniques to offer a range of strategies which encompass traditional momentum, non traditional momentum, multi strategy and sector based approaches. Man AHL's strategies are primarily alternative and seek to gain potential predictive, alpha generating insights through rigorous analysis of large data sets. Man AHL is a specialised engine, applying scientific rigour and advanced technology and execution to a diverse range of data to build systematic investment strategies, trading continuously over hundreds of global markets. The team of 150 investment professionals, including 110 researchers, is comprised of scientists, technologists and finance practitioners, driven by curiosity and intellectual honesty, and a passion for solving the complex problems presented by financial markets. The engine leverages Man Group's unique collaboration with the University of Oxford, the Oxford Man Institute of Quantitative Finance (OMI). The OMI conducts field leading academic research into machine learning and data analytics, which can be applied to quantitative investing. Founded in 1987, Man AHL's funds under management were $63.8 billion at 31 March 2024. Further information can be found at The Team AHL Macro is the team responsible for Macro strategies. The team systematically trades liquid futures and FX at different frequencies, with holding periods ranging from monthly to intraday. Technology and Business Skills 4+ years of experience researching and live trading alpha signals for futures and FX Experience with intraday predictor design and analysis Experience with portfolio construction, risk analysis Strong understanding of transaction costs, and mitigation strategies Strong coding skills and experience of handling large data sets. We use Python and its scientific stack for both research and live trading Personal Attributes Strong academic record and a degree with high mathematical, statistical, and computing content e.g., Mathematics, Computer Science, Engineering, Economics or Physics from a leading university Hands on attitude; willing to get involved with technology and projects across the firm Intellectually robust with a keenly analytic approach to problem solving Self organised with the ability to effectively manage time across multiple projects and with contending business demands and priorities Strong interpersonal skills; able to build and maintain a close working relationship with quantitative researchers, technologist, traders and senior business stakeholders alike. Ability to mentor junior researchers Confident communicator: able to argue a point concisely and deal positively with conflicting views Working Here AHL fosters a performance driven, meritocratic culture with a small company, no attitude feel. It is flat structured, open, transparent, and collaborative, offering ample opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader research and academic community, as well as renowned industry contributors. We're fortunate enough to have a fantastic open plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We have annual away days and research off sites for the whole team We have a canteen onsite offering nutritious and well balanced food selection catering to varying dietary requirements As well as PCs and Macs in our office, you'll also find numerous amenities such as a Wellness room featuring Peloton bikes, a music room with notably a piano and guitar and a Maker space with light cubes and 3D printer We host and sponsor London's PyData and Machine Learning Meetups Man Group has proudly partnered with King's College London Mathematics School for many years, which offers employees the opportunity to supervise a group of students on a scientific research project or internship We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Inclusion, Work Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at . You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long term disability coverage, group sick pay, enhanced parental leave and long service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer If you require help or information on reasonable adjustments as you apply for roles with us, please . We are committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications.

At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.

Overview BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Senior Research Scientist Requisition ID: 121740 Location: Great Baddow - Hybrid working 2 days onsite per week Grade: GG11 Referral Bonus: £5,000 BAE Systems Digital Intelligence Innovation and Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into our internal BAE Systems programmes. You will also have the opportunity to maintain strong links with Academic partners and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image analysis and computer vision, generative AI, deep fake, LLMs, knowledge graphs, NLP, graph ML and others. You will have the opportunity to work with these colleagues in multi-disciplinary teams. Typical Responsibilities: Lead technical delivery of projects, leading junior researchers. Prepare and deliver technical reports, technical proposals and supporting material Lead novel research in given topic areas; this can be in partnership with other (internal or external) suppliers and/or leading UK Universities Develop prototypes and proof of concept demonstrators Take ownership of tasks in projects and deliver to challenging standards Work effectively both on self-directed projects and as part of a project team Effectively present results to both technical and non-technical audiences Undertake mentoring of junior staff working on similar research topics Patent and/or publish novel concepts and research findings, where appropriate Essential Knowledge, Skills and Experience: PhD or equivalent industry experience in a relevant discipline Several years of expertise in the application of AI/ML and/or statistical signal processing to sequential (e.g. sensor time-series) data and decision-making post PhD Experience in software development for proof of concept in Python Experience with machine and deep learning frameworks: TensorFlow, PyTorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking and sensor data fusion Radar signal processing Acoustic data processing (including sonar) Distributed sensing and processing Autonomy Human machine teaming Space-domain Awareness (SDA) Positioning, navigation, and timing Pattern of life analytics Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Division overview: Capabilities At BAE Systems Digital Intelligence, we pride ourselves in being a leader in the cyber defence industry, and Capabilities is the engine that keeps the business moving forward. It is the largest area of Digital Intelligence, containing our Engineering, Consulting and Project Management teams that design and implement the defence solutions and digital transformation projects that make us a globally recognised brand in both the public and private sector. As a member of the Capabilities team, you will be creating and managing the solutions that earn us our place in an ever changing digital world. We all have a role to play in defending our clients, and this is yours.