About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. We're trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit to learn more. The Role The Director of Finance Transformation is responsible for leading and managing large-scale transformation initiatives within the finance and accounting organization. You will be responsible for developing and implementing innovative technology solutions that optimize our processes and systems. This role involves developing and implementing strategies to improve processes, enhance operational efficiency, and drive organizational change. As the Director of Finance Transformation, you will work closely with senior finance leadership, cross-functional teams, and external partners to ensure the successful execution of transformation projects. What will you be doing? Collaborate with senior finance leadership to define transformation goals and objectives Lead and manage transformation projects from inception to completion, ensuring they are delivered on time, within scope, and on budget Conduct stakeholder interviews, working independently to fully understand current processes and identify opportunities for improvement, such as streamline, elimination, standardization, and automation Identify opportunities for improvement (Current State Assessment/Gap Analysis) and innovation across the finance organization Collaborate closely with IT, product management, engineering/data teams, and stakeholders to define future state system architecture and technical roadmaps Evaluate existing systems and propose enhancements to improve efficiency, scalability, and user experience Stay up-to-date on industry trends and advancements in finance technology, and make recommendations for potential implementation at Perk Maintain project cadence by delivering project plans, analysis, deliverables, trackers, and other key project documents, or by overseeing analysts or partnering with other key stakeholders in the delivery of these resources Develop and manage budgets for finance technology initiatives, ensuring cost-effectiveness and ROI Develop and implement change management strategies to ensure smooth adoption of new processes and technologies, whilst maintaining compliance with control requirements and ultimately SOX Design/facilitate training sessions (where necessary) to employees to understand, and adapt to process improvement changes Establish OKRs, key performance indicators (KPIs) and metrics to measure the success of transformation initiatives What you will need to succeed? Demonstrated experience and previous success leading transformative organizational work. Proven ability to work with diverse stakeholders, manage competing agendas and priorities, and translate complex information across functions. Strong operational capability, with the ability to oversee the process to deliver projects, timelines and budgets, effective customer management skills. Highly collaborative, strong interpersonal skills and cross-functional team experience; ability to lead and influence. Demonstrate ability to shift between business-focused conversations with a financial leader to a technology-focused conversation with a technology team. Ability to deliver executive level updates and determine when to escalate to management and identify the right stakeholders for decision making. Critically analyze and assess the adequacy of internal controls and opportunities for process improvements and efficiency gains. Ability to work globally and cross-functionally to lead change in a fast-paced environment. Well-developed sense of urgency and follow through. Affinity for a high-performance, project-oriented work environment Excellent written, oral, and presentation skills with a strong ability to clearly communicate via PowerPoint documents and present information to all levels of management. Willingness to challenge the status quo while driving with a sense of urgency Comfortable building and driving new frameworks and processes with cross-functional teams Ownership mentality, intellectual curiosity, and an ability to thrive in a dynamic, fast-paced environment Experience working with Agile Project and Portfolio Management tools such as Jira a plus Strong passion for designing and implementing solutions using next-generation technology such as data analytics, machine learning, and generative AI Demonstrates Perk's values through work product and within day to day team interactions. Education and Experience Bachelor's degree in Accounting, Finance or other business-related field of study preferred. Minimum of 10+ years of accounting operational and or related experience in managing the delivery of transformation programs with proven track record of success. What you will get in return - Our Benefits Receive competitive compensation and equity ownership in Perk Rest and recharge with 25 days of annual leave plus bank holidays Take control of your physical health with private medical cover and voluntary dental insurance from Bupa, and discounted gym memberships with GymFlex Plan for your future with our qualifying earnings company pension plan with Aviva Know that your loved ones are protected financially through your Life Insurance if the worst were to happen Rest assured that you're covered by income protection in case you experience a long-term sickness or absence Leverage tax-efficient cycle and electric car schemes with Cycle2Work & Octopus Join our unforgettable Perk events, including our spectacular annual summer party Always feel supported with Spring Health, our market-leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved ones Focus on your family with 12-16 weeks' paid parental leave Contribute to your community with 16 paid hours per year to spend volunteering for your dearest charitable causes Broaden your horizons with up to 20 "Work from Anywhere" days per year Stay savvy with access to a wide variety of discounts and rewards Follow your passions and take a four-week, fully paid sabbatical once you reach 5 years Let us help you move to one of our hubs with relocation support How We Work At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We're an equal opportunity employer, which means you're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you. Protect Yourself from Recruitment Scams All official communication from Perk will always come from email addresses ending in or our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security at perk dot com, and we will confirm whether it is legitimate.
Apr 02, 2026
Full time
About Us Perk (formerly TravelPerk) is the intelligent platform for travel and spend management. Built to tackle the time-consuming, manual work that gets in the way of real work, our tools automate everything from travel bookings to expenses, invoice processing, and more. By eliminating this shadow work that wastes hours, erodes morale, and saps innovation, we're on a mission to power real work, with real impact. We're trusted by more than 10,000 companies worldwide, including Wise, On Running, Breitling, and Fabletics, and we're tackling the 7 hours of lost productivity per employee each week, a $1.7 trillion problem. Founded in 2015, Perk has grown into a global company of more than 1,800 people across 12 offices globally, with headquarters in London and Boston. We combine innovation, control, and simplicity to transform how businesses work and how people feel at work. At Perk, we're driven by our values, like being an owner, delivering a 7-star experience, and working as one team. We value curiosity, purpose, and mindset, not just knowledge, to unlock the power in your potential. Our talent team brings together leading minds from the travel and SaaS industries, representing over 70 countries. If you're excited about having a real impact and shaping how millions of people experience work, we'd love you on the team. Visit to learn more. The Role The Director of Finance Transformation is responsible for leading and managing large-scale transformation initiatives within the finance and accounting organization. You will be responsible for developing and implementing innovative technology solutions that optimize our processes and systems. This role involves developing and implementing strategies to improve processes, enhance operational efficiency, and drive organizational change. As the Director of Finance Transformation, you will work closely with senior finance leadership, cross-functional teams, and external partners to ensure the successful execution of transformation projects. What will you be doing? Collaborate with senior finance leadership to define transformation goals and objectives Lead and manage transformation projects from inception to completion, ensuring they are delivered on time, within scope, and on budget Conduct stakeholder interviews, working independently to fully understand current processes and identify opportunities for improvement, such as streamline, elimination, standardization, and automation Identify opportunities for improvement (Current State Assessment/Gap Analysis) and innovation across the finance organization Collaborate closely with IT, product management, engineering/data teams, and stakeholders to define future state system architecture and technical roadmaps Evaluate existing systems and propose enhancements to improve efficiency, scalability, and user experience Stay up-to-date on industry trends and advancements in finance technology, and make recommendations for potential implementation at Perk Maintain project cadence by delivering project plans, analysis, deliverables, trackers, and other key project documents, or by overseeing analysts or partnering with other key stakeholders in the delivery of these resources Develop and manage budgets for finance technology initiatives, ensuring cost-effectiveness and ROI Develop and implement change management strategies to ensure smooth adoption of new processes and technologies, whilst maintaining compliance with control requirements and ultimately SOX Design/facilitate training sessions (where necessary) to employees to understand, and adapt to process improvement changes Establish OKRs, key performance indicators (KPIs) and metrics to measure the success of transformation initiatives What you will need to succeed? Demonstrated experience and previous success leading transformative organizational work. Proven ability to work with diverse stakeholders, manage competing agendas and priorities, and translate complex information across functions. Strong operational capability, with the ability to oversee the process to deliver projects, timelines and budgets, effective customer management skills. Highly collaborative, strong interpersonal skills and cross-functional team experience; ability to lead and influence. Demonstrate ability to shift between business-focused conversations with a financial leader to a technology-focused conversation with a technology team. Ability to deliver executive level updates and determine when to escalate to management and identify the right stakeholders for decision making. Critically analyze and assess the adequacy of internal controls and opportunities for process improvements and efficiency gains. Ability to work globally and cross-functionally to lead change in a fast-paced environment. Well-developed sense of urgency and follow through. Affinity for a high-performance, project-oriented work environment Excellent written, oral, and presentation skills with a strong ability to clearly communicate via PowerPoint documents and present information to all levels of management. Willingness to challenge the status quo while driving with a sense of urgency Comfortable building and driving new frameworks and processes with cross-functional teams Ownership mentality, intellectual curiosity, and an ability to thrive in a dynamic, fast-paced environment Experience working with Agile Project and Portfolio Management tools such as Jira a plus Strong passion for designing and implementing solutions using next-generation technology such as data analytics, machine learning, and generative AI Demonstrates Perk's values through work product and within day to day team interactions. Education and Experience Bachelor's degree in Accounting, Finance or other business-related field of study preferred. Minimum of 10+ years of accounting operational and or related experience in managing the delivery of transformation programs with proven track record of success. What you will get in return - Our Benefits Receive competitive compensation and equity ownership in Perk Rest and recharge with 25 days of annual leave plus bank holidays Take control of your physical health with private medical cover and voluntary dental insurance from Bupa, and discounted gym memberships with GymFlex Plan for your future with our qualifying earnings company pension plan with Aviva Know that your loved ones are protected financially through your Life Insurance if the worst were to happen Rest assured that you're covered by income protection in case you experience a long-term sickness or absence Leverage tax-efficient cycle and electric car schemes with Cycle2Work & Octopus Join our unforgettable Perk events, including our spectacular annual summer party Always feel supported with Spring Health, our market-leading wellbeing partner, providing fast, comprehensive access to 12x therapy and 12x coaching sessions for you and your loved ones Focus on your family with 12-16 weeks' paid parental leave Contribute to your community with 16 paid hours per year to spend volunteering for your dearest charitable causes Broaden your horizons with up to 20 "Work from Anywhere" days per year Stay savvy with access to a wide variety of discounts and rewards Follow your passions and take a four-week, fully paid sabbatical once you reach 5 years Let us help you move to one of our hubs with relocation support How We Work At Perk, we take an IRL-first approach to work, where our team works together in-person 3 days a week. As such, this role requires you to be based within commuting distance of our hubs. We fundamentally believe in the value of meeting in real life to improve connectivity, productivity, creativity and ultimately making us a great place to work. For certain roles, we can help with relocation from anywhere in the world, English is the official language at the office. Please submit your resume in English if you choose to apply. Do not forget to submit an updated portfolio and/or resume. Perk is a global company with a diverse customer base, and we want to make sure the people behind our product reflect that. We're an equal opportunity employer, which means you're welcome at Perk regardless of how you look, where you're from, or anything else that makes you, well, you. Protect Yourself from Recruitment Scams All official communication from Perk will always come from email addresses ending in or our verified social media channels, or recruiters listed on our official LinkedIn page. We will never ask you to pay for equipment, training, or fees, request sensitive personal information such as bank details early in the process, or communicate through unofficial apps like WhatsApp, Telegram, or Signal. If you receive a message claiming to be from Perk that seems suspicious, please do not respond. Forward it to security at perk dot com, and we will confirm whether it is legitimate.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 02, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
AI-Augmented Engineering Lead - Leading Financial Services - Perm - London - Hybrid About the role: We're looking for an AI-Augmented Engineering Lead to help drive the adoption of AI-enabled engineering practices across its technology platform. This role sits at the intersection of AI, DevOps, and Cloud Engineering, focusing on integrating AI-driven capabilities into the software development lifecycle to improve engineering productivity, software quality, and delivery velocity. Responsibilities: Drive adoption of AI tools across the SDLC, including coding assistance, automated testing, and operational insights. Lead the evolution of a central AWS-based DevSecOps platform. Design and optimise CI/CD pipelines with embedded security and quality controls. Integrate AI capabilities into engineering workflows, monitoring, and incident analysis. Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirements: Strong experience with Generative AI, Machine Learning, or LLM-based solutions. Deep expertise in AWS cloud architecture and DevOps practices. Experience with Python, JavaScript, or React. Hands-on experience with Terraform or AWS CDK. Strong knowledge of CI/CD, containerisation (Docker/Kubernetes), and DevOps tooling. Experience working within large-scale engineering environments.
Apr 02, 2026
Full time
AI-Augmented Engineering Lead - Leading Financial Services - Perm - London - Hybrid About the role: We're looking for an AI-Augmented Engineering Lead to help drive the adoption of AI-enabled engineering practices across its technology platform. This role sits at the intersection of AI, DevOps, and Cloud Engineering, focusing on integrating AI-driven capabilities into the software development lifecycle to improve engineering productivity, software quality, and delivery velocity. Responsibilities: Drive adoption of AI tools across the SDLC, including coding assistance, automated testing, and operational insights. Lead the evolution of a central AWS-based DevSecOps platform. Design and optimise CI/CD pipelines with embedded security and quality controls. Integrate AI capabilities into engineering workflows, monitoring, and incident analysis. Lead experimentation and POCs with emerging AI and cloud technologies. Key Requirements: Strong experience with Generative AI, Machine Learning, or LLM-based solutions. Deep expertise in AWS cloud architecture and DevOps practices. Experience with Python, JavaScript, or React. Hands-on experience with Terraform or AWS CDK. Strong knowledge of CI/CD, containerisation (Docker/Kubernetes), and DevOps tooling. Experience working within large-scale engineering environments.
The Role At Notpla, we're at the forefront of sustainable innovation, creating natural alternatives to single use plastic packaging that are carefully engineered to help build a healthier planet. Founded on the belief that Nature is our North Star, we're an innovative, action oriented scale up developing and manufacturing uncompromisingly natural packaging solutions from seaweed and plants. As an Injection Moulding Engineer you will operate across Technology Readiness Levels 3 to 8; you will lead complex, critical projects that ensure robust, repeatable and scalable injection moulding processes across pilot and commercial production. This is an exciting time to join Notpla - we're on the brink of a record breaking year for revenue and on track for major growth in the next 18-24 months. On top of this our Series A+ fundraise, which closed in 2024, is enabling us to scale our growth and environmental impact faster than ever. Beyond offering meaningful roles and a vibrant working environment, Notpla provides competitive compensation, including EMI Share Options, a zero carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office first working culture promotes a dynamic and collaborative atmosphere while maximising productivity. We're a social business with regular clubs and events, and we're proud of how our diverse, mission driven community works together to make plastic disappear. Led by strong values, all Notpla employees are encouraged to take ownership of their domain, enjoying a high degree of autonomy. Our aim is to build an inspiring culture reflected in our working policies, environment, and people. As an Injection Moulding Engineer you will spend your time executing factory trials both at internal pilot facilities and external manufacturing sites developing and optimising injection moulding processes for new and existing polymer formulations. You will act as the primary technical interface between the company and external moulding factories, coordinating and overseeing joint development and optimisation trials. In order to succeed in this role you will need deep expertise in polymer processing and factory based manufacturing environments. You will bring strong hands on knowledge of injection moulding processes, tooling interactions and material behaviour. Proven track record confidently leading factory trials while working closely with contract manufacturers and equipment operations is essential. You feel comfortable operating at the interface of material science, tooling design and real world production constraints. Key Responsibilities Injection Moulding Process Development & Optimisation Develop, establish, and optimise injection moulding processes for new and existing polymer formulations. Define and document robust processing windows (temperature, pressure, cooling time, screw speed, back pressure, etc.). Conduct structured process optimisation using Design of Experiments (DOE) methodologies and statistical analysis. Apply Process Capability (CP) and Process Capability Index (CPK) analysis to assess process capability and ensure production robustness in line with Six Sigma principles (ISO 13053). Establish scientifically grounded relationships between material properties and moulding performance (flow, shrinkage, warpage, weld lines, surface finish). Define material specifications suitable for industrial moulding environments. Factory Trials & Production Scale Up Lead and execute factory trials at internal pilot facilities and external manufacturing sites. Translate R&D scale learnings into full industrial moulding environments. Adapt processes across different machine platforms, tooling configurations, and factory setups. Ensure all trial parameters, deviations, and results are clearly documented and translated into Standard Operation Procedures (SOPs). Support handover from development to steady state production. Anticipate and mitigate scale up risks through structured planning and pre trial analysis. Ability to operate within production constraints such as uptime requirements, operator skill variability and machine limitations. Technical Troubleshooting & Root Cause Analysis Diagnose and resolve moulding defects (short shots, sink marks, flash, burn marks, voids, warpage, dimensional instability). Lead structured root cause analysis using methodologies such as FMEA and 8D. Address material related processing issues including moisture sensitivity, degradation, thermal stability, and rheological variability. Implement corrective and preventative actions to improve yield and reduce scrap rates. Tooling & Equipment Interaction Work closely with toolmakers to optimise gate design, runner systems, cooling channels, and venting strategies. Provide DFM (Design for Manufacture) input to product and tooling design teams. Evaluate and specify injection moulding equipment suitable for new product requirements. Support tool trials (T0, T1, T2 stages) and drive improvements prior to production release. External Manufacturing & Partner Management Act as the primary technical interface between the company and external moulding factories. Build strong working relationships with factory engineers, production managers, and machine operators. Ensure manufacturing partners adhere to defined process windows and quality standards. Coordinate and oversee joint development and optimisation trials with external partners. Salary Total compensation package depending on experience: £38,000 - £57,500 (base salary + EMI Share Options)
Apr 02, 2026
Full time
The Role At Notpla, we're at the forefront of sustainable innovation, creating natural alternatives to single use plastic packaging that are carefully engineered to help build a healthier planet. Founded on the belief that Nature is our North Star, we're an innovative, action oriented scale up developing and manufacturing uncompromisingly natural packaging solutions from seaweed and plants. As an Injection Moulding Engineer you will operate across Technology Readiness Levels 3 to 8; you will lead complex, critical projects that ensure robust, repeatable and scalable injection moulding processes across pilot and commercial production. This is an exciting time to join Notpla - we're on the brink of a record breaking year for revenue and on track for major growth in the next 18-24 months. On top of this our Series A+ fundraise, which closed in 2024, is enabling us to scale our growth and environmental impact faster than ever. Beyond offering meaningful roles and a vibrant working environment, Notpla provides competitive compensation, including EMI Share Options, a zero carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office first working culture promotes a dynamic and collaborative atmosphere while maximising productivity. We're a social business with regular clubs and events, and we're proud of how our diverse, mission driven community works together to make plastic disappear. Led by strong values, all Notpla employees are encouraged to take ownership of their domain, enjoying a high degree of autonomy. Our aim is to build an inspiring culture reflected in our working policies, environment, and people. As an Injection Moulding Engineer you will spend your time executing factory trials both at internal pilot facilities and external manufacturing sites developing and optimising injection moulding processes for new and existing polymer formulations. You will act as the primary technical interface between the company and external moulding factories, coordinating and overseeing joint development and optimisation trials. In order to succeed in this role you will need deep expertise in polymer processing and factory based manufacturing environments. You will bring strong hands on knowledge of injection moulding processes, tooling interactions and material behaviour. Proven track record confidently leading factory trials while working closely with contract manufacturers and equipment operations is essential. You feel comfortable operating at the interface of material science, tooling design and real world production constraints. Key Responsibilities Injection Moulding Process Development & Optimisation Develop, establish, and optimise injection moulding processes for new and existing polymer formulations. Define and document robust processing windows (temperature, pressure, cooling time, screw speed, back pressure, etc.). Conduct structured process optimisation using Design of Experiments (DOE) methodologies and statistical analysis. Apply Process Capability (CP) and Process Capability Index (CPK) analysis to assess process capability and ensure production robustness in line with Six Sigma principles (ISO 13053). Establish scientifically grounded relationships between material properties and moulding performance (flow, shrinkage, warpage, weld lines, surface finish). Define material specifications suitable for industrial moulding environments. Factory Trials & Production Scale Up Lead and execute factory trials at internal pilot facilities and external manufacturing sites. Translate R&D scale learnings into full industrial moulding environments. Adapt processes across different machine platforms, tooling configurations, and factory setups. Ensure all trial parameters, deviations, and results are clearly documented and translated into Standard Operation Procedures (SOPs). Support handover from development to steady state production. Anticipate and mitigate scale up risks through structured planning and pre trial analysis. Ability to operate within production constraints such as uptime requirements, operator skill variability and machine limitations. Technical Troubleshooting & Root Cause Analysis Diagnose and resolve moulding defects (short shots, sink marks, flash, burn marks, voids, warpage, dimensional instability). Lead structured root cause analysis using methodologies such as FMEA and 8D. Address material related processing issues including moisture sensitivity, degradation, thermal stability, and rheological variability. Implement corrective and preventative actions to improve yield and reduce scrap rates. Tooling & Equipment Interaction Work closely with toolmakers to optimise gate design, runner systems, cooling channels, and venting strategies. Provide DFM (Design for Manufacture) input to product and tooling design teams. Evaluate and specify injection moulding equipment suitable for new product requirements. Support tool trials (T0, T1, T2 stages) and drive improvements prior to production release. External Manufacturing & Partner Management Act as the primary technical interface between the company and external moulding factories. Build strong working relationships with factory engineers, production managers, and machine operators. Ensure manufacturing partners adhere to defined process windows and quality standards. Coordinate and oversee joint development and optimisation trials with external partners. Salary Total compensation package depending on experience: £38,000 - £57,500 (base salary + EMI Share Options)
Description Project Scheduler Location: This is a Hybrid role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance We are seeking an experienced Project Scheduler to take ownership of the Integrated Master Schedule (IMS) for a complex, large-scale programme. This role is critical to providing accurate planning, insight, and assurance across multiple workstreams, ensuring that dependencies, risks, and contractual milestones are clearly understood and effectively managed. The successful candidate will have a strong background in scheduling within complex programmes and be highly skilled in Microsoft Project, with the ability to critically analyse and challenge plans to support confident decision-making. What will I be doing? Develop, maintain, and own the Integrated Master Schedule for the programme. Consolidate schedules from multiple workstreams into a coherent, logically linked master plan. Perform critical path and dependency analysis to identify schedule risks and mitigation options. Review and challenge project plans to ensure realism, robustness, and alignment with contractual milestones. Work closely with Project Managers, PMO, and Programme Leadership to ensure schedule accuracy and integration. Produce schedule-related reporting, analysis, and forecasts for senior stakeholders. Ensure scheduling standards, assumptions, and baseline controls are consistently applied. What does Leidos need from me? Proven experience as a Scheduler or Planning professional on complex programmes or portfolios. Strong understanding of integrated planning, critical path analysis, and schedule assurance. Advanced proficiency in Microsoft Project; experience with integrated master schedules is essential. Ability to analyse and interpret complex plans and provide constructive challenge. Excellent attention to detail and strong organisational skills. Confident communicator, able to engage with stakeholders at all levels of the organisation. Who We Are: Leidos UK & Europe - we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: £44,700.00-£57,300.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Apr 02, 2026
Full time
Description Project Scheduler Location: This is a Hybrid role. Whiteley, Hampshire Clearance Required: This role will require attainment and maintenance of SC clearance We are seeking an experienced Project Scheduler to take ownership of the Integrated Master Schedule (IMS) for a complex, large-scale programme. This role is critical to providing accurate planning, insight, and assurance across multiple workstreams, ensuring that dependencies, risks, and contractual milestones are clearly understood and effectively managed. The successful candidate will have a strong background in scheduling within complex programmes and be highly skilled in Microsoft Project, with the ability to critically analyse and challenge plans to support confident decision-making. What will I be doing? Develop, maintain, and own the Integrated Master Schedule for the programme. Consolidate schedules from multiple workstreams into a coherent, logically linked master plan. Perform critical path and dependency analysis to identify schedule risks and mitigation options. Review and challenge project plans to ensure realism, robustness, and alignment with contractual milestones. Work closely with Project Managers, PMO, and Programme Leadership to ensure schedule accuracy and integration. Produce schedule-related reporting, analysis, and forecasts for senior stakeholders. Ensure scheduling standards, assumptions, and baseline controls are consistently applied. What does Leidos need from me? Proven experience as a Scheduler or Planning professional on complex programmes or portfolios. Strong understanding of integrated planning, critical path analysis, and schedule assurance. Advanced proficiency in Microsoft Project; experience with integrated master schedules is essential. Ability to analyse and interpret complex plans and provide constructive challenge. Excellent attention to detail and strong organisational skills. Confident communicator, able to engage with stakeholders at all levels of the organisation. Who We Are: Leidos UK & Europe - we work to make the worldsafer,healthier, andmore efficient through technology, engineering andscience. Leidos is a growing company delivering innovative technology and solutions focused on safeguarding critical capabilities and transformation in frontline services, our work in the United Kingdom includes addressing some of the most complex problems in defence, healthcare, government, safety and security, and transportation. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: £44,700.00-£57,300.00 The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proventrack record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. WHAT YOU'LL DO Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets. Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes. Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value). Invest time in learning new product features, industry related developments, and broadening your overall technical skillset. Represent Wiz in technical forums such as trade shows, technical meet ups, and industry events. WHAT YOU'LL BRING Ability to deliver world class demonstrations and training experience to our channel customers Mastered the technical sales process Thrive in a creative technical role assisting partners to build a technical business delivery model Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers Ability to travel up to 40% Cloud security experience AWS/Azure/GCP hands on experience Strong operating system, virtual machine, and container knowledge Knowledge of risk-based security assessments and frameworks Understanding of cloud identity, access, certificates, and keys BONUS POINTS: Experience with traditional CSPM tools SaaS experience Awareness of the CI/CD process Familiarity with Infrastructure as Code Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Apr 02, 2026
Full time
Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proventrack record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY As a Solutions Engineer, you will be responsible for supporting our enterprise customers, reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. WHAT YOU'LL DO Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets. Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes. Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value). Invest time in learning new product features, industry related developments, and broadening your overall technical skillset. Represent Wiz in technical forums such as trade shows, technical meet ups, and industry events. WHAT YOU'LL BRING Ability to deliver world class demonstrations and training experience to our channel customers Mastered the technical sales process Thrive in a creative technical role assisting partners to build a technical business delivery model Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers Ability to travel up to 40% Cloud security experience AWS/Azure/GCP hands on experience Strong operating system, virtual machine, and container knowledge Knowledge of risk-based security assessments and frameworks Understanding of cloud identity, access, certificates, and keys BONUS POINTS: Experience with traditional CSPM tools SaaS experience Awareness of the CI/CD process Familiarity with Infrastructure as Code Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.
Select how often (in days) to receive an alert: Title: Associate Director, EFX Quant, FX Trading - FICC Requisition ID: 251683 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Purpose This role contributes to the overall success of our Global FX eTrading and Automated Market Making business by designing, developing, and implementing advanced models, trading strategies, and technology solutions, while ensuring individual goals, plans, and initiatives are executed & delivered in support of the team's overall objectives. The position requires strong quantitative, programming (Java, Python, C++), and analytical skills to deliver innovative solutions that enhance execution quality, risk management, and profitability, while ensuring compliance with global regulatory standards and internal policies. Accountabilities Model Development: Design, implement, and improve pricing, hedging, and execution algorithms using Mathematical, Statistical/Machine Learning, and other Probability-driven models. Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability. Data Analysis & Insights: Analyze large datasets (market, client behavior) to identify patterns and generate actionable insights. Simulate pricing and hedging models against historical data. Collaboration: Partner with Sales, Trading, and Technology teams to deliver integrated solutions and improve platform capabilities. Establish consistent interaction with the voice trading desk and cultivate awareness of market trends and liquidity. Compliance, Ris, and Governance: Ensure adherence to regulatory requirements (SEC, FCA, IIROC) and internal policies on Compliance, Surveillance, and Risk across regions. Role-Specific Responsibilities Implement algorithmic trading strategies using state-of-the-art coding techniques ensuring their speed and efficiency. Build and optimize low-latency trading infrastructure and APIs. Maintain and enhance production-level systems with robust testing and documentation. Develop and maintain automated risk management algorithms that dynamically adjust based on market conditions, aligned with desk and firm-wide risk appetite. Conduct alpha research and back testing for systematic strategies. Obtain necessary regulatory licenses. Execute and monitor algorithmic strategies across products. Manage P&L and optimize execution quality under dynamic market conditions. Adhere to pre-established market risk limits and desk position limits. Overall Accountabilities Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and programming techniques, including emerging technologies (cloud computing, GPU acceleration, AI/ML) and market microstructure research. Explore emerging techniques in Machine Learning & AI. Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Champions a high-performance environment and contributes to an inclusive work environment. Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Education & Experience Required: Bachelor's in Computer Science, Engineering, Mathematics, Physics, or related field. Experience in electronic trading, algorithmic market making, alpha generation and systematic strategy development. Experience with Trading Venues, ECNs, and Dealer-to-Client platforms Technical Skills Proficiency in Python, Java, and strong OOP principles. Experience with data platforms (KDB/Q, SQL) and numerical libraries (Pandas, NumPy). Familiarity with electronic trading protocols, connectivity, routing (FIX, API integration). Knowledge of cloud computing, GPU acceleration, and distributed systems is an asset. Quantitative & Analytical Skills Foundation in probability, statistics, and optimization. Experience with Machine Learning & Bayesian frameworks (TensorFlow, PyTorch, Scikit-learn). Ability to design and validate models under real-world constraints. Soft Skills Communication skills to explain complex concepts to diverse stakeholders. Ability to work across time zones and adapt to regional market hours. Collaborative mindset and willingness to mentor junior team members. Location(s): England : GreaterLondon : London (UK) Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Apr 02, 2026
Full time
Select how often (in days) to receive an alert: Title: Associate Director, EFX Quant, FX Trading - FICC Requisition ID: 251683 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Purpose This role contributes to the overall success of our Global FX eTrading and Automated Market Making business by designing, developing, and implementing advanced models, trading strategies, and technology solutions, while ensuring individual goals, plans, and initiatives are executed & delivered in support of the team's overall objectives. The position requires strong quantitative, programming (Java, Python, C++), and analytical skills to deliver innovative solutions that enhance execution quality, risk management, and profitability, while ensuring compliance with global regulatory standards and internal policies. Accountabilities Model Development: Design, implement, and improve pricing, hedging, and execution algorithms using Mathematical, Statistical/Machine Learning, and other Probability-driven models. Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability. Data Analysis & Insights: Analyze large datasets (market, client behavior) to identify patterns and generate actionable insights. Simulate pricing and hedging models against historical data. Collaboration: Partner with Sales, Trading, and Technology teams to deliver integrated solutions and improve platform capabilities. Establish consistent interaction with the voice trading desk and cultivate awareness of market trends and liquidity. Compliance, Ris, and Governance: Ensure adherence to regulatory requirements (SEC, FCA, IIROC) and internal policies on Compliance, Surveillance, and Risk across regions. Role-Specific Responsibilities Implement algorithmic trading strategies using state-of-the-art coding techniques ensuring their speed and efficiency. Build and optimize low-latency trading infrastructure and APIs. Maintain and enhance production-level systems with robust testing and documentation. Develop and maintain automated risk management algorithms that dynamically adjust based on market conditions, aligned with desk and firm-wide risk appetite. Conduct alpha research and back testing for systematic strategies. Obtain necessary regulatory licenses. Execute and monitor algorithmic strategies across products. Manage P&L and optimize execution quality under dynamic market conditions. Adhere to pre-established market risk limits and desk position limits. Overall Accountabilities Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and programming techniques, including emerging technologies (cloud computing, GPU acceleration, AI/ML) and market microstructure research. Explore emerging techniques in Machine Learning & AI. Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Champions a high-performance environment and contributes to an inclusive work environment. Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Education & Experience Required: Bachelor's in Computer Science, Engineering, Mathematics, Physics, or related field. Experience in electronic trading, algorithmic market making, alpha generation and systematic strategy development. Experience with Trading Venues, ECNs, and Dealer-to-Client platforms Technical Skills Proficiency in Python, Java, and strong OOP principles. Experience with data platforms (KDB/Q, SQL) and numerical libraries (Pandas, NumPy). Familiarity with electronic trading protocols, connectivity, routing (FIX, API integration). Knowledge of cloud computing, GPU acceleration, and distributed systems is an asset. Quantitative & Analytical Skills Foundation in probability, statistics, and optimization. Experience with Machine Learning & Bayesian frameworks (TensorFlow, PyTorch, Scikit-learn). Ability to design and validate models under real-world constraints. Soft Skills Communication skills to explain complex concepts to diverse stakeholders. Ability to work across time zones and adapt to regional market hours. Collaborative mindset and willingness to mentor junior team members. Location(s): England : GreaterLondon : London (UK) Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.
Technical Graduate 2026 - Space Defence & Intelligence Position Description At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of , you'll join a community of graduates who are turning ambition into action and possibility into progress. As a Technical Graduate in our Space, Defence & Intelligence business unit, you'll contribute to projects that protect national interests, advance space discovery and deliver intelligence solutions that matter. From your very first day, you'll be trusted to take ownership, think creatively and be supported by experts who will help you build the skills to define your career. Your future duties and responsibilities In this role, you'll apply your STEM expertise to projects that keep the UK and its global partners secure. You will:Design, develop, and test technical solutions for live projects.Collaborate with cross-functional teams to solve complex real-world challenges.Explore and apply emerging technologies in areas such as cyber, cloud, space, and mission systems.Support secure systems that underpin the UK's national infrastructure.Innovate alongside other graduates, taking part in early careers initiatives that go beyond your day-to-day role.Every contribution you make will help deliver outcomes with lasting impact. Locations Technical Graduate roles in our Space, Defence and Intelligence area are available in London, Leatherhead, Chippenham, Reading, Bristol , Gloucester and Manchester . As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? At CGI, you'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes. Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You'll also join our Student Kick-start Initiative, where you'll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role. CGI is an unconditionally inclusive workplace where you are respected, your voice is heard, and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK 'Best Employer' by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Why Choose CGI's Space, Defence and Intelligence? For nearly 50 years, CGI has been a key player in Space, Defence & Intelligence, trusted by governments and global organizations to deliver solutions that drive innovation and protect critical infrastructure. You'll be working on some of the most exciting projects in the world, including: Satellite Navigation Systems: Helping develop the European Space Agency's Galileo system, providing critical positioning services to millions worldwide. Military Communications & Cybersecurity: Working with the UK Ministry of Defence for over 40 years. Developing secure networks to safeguard national security. Space Exploration & Environmental Monitoring: Partnering with NASA and other agencies to contribute to earth observation satellites that monitor climate change.Benefits Along with a competitive salary and a £1000 joining bonus, you'll enjoy benefits that support every stage of your journey. You'll share in CGI's success through our matched share scheme, have access to private healthcare, well-being programmes, and professional training, and build financial security with a competitive pension. Beyond the day job, you'll connect with others through graduate networks, diversity groups, and social clubs that make your time at CGI both rewarding and enjoyable. Required qualifications to be successful in this role We're seeking ambitious graduates who are passionate about technology and eager to apply their skills to projects that make a real difference. You'll bring a strong academic background in STEM, curiosity to explore new ideas, and flexibility to take on diverse projects across the UK. Due to the sensitive nature of projects within the Space, Defence and Intelligence sector, candidates must meet security clearance requirements. All applicants must typically have 5 to 10 years of continuous residency in the UK, and be a UK national holding only a UK passport. You should have:A minimum 2:2 degree in computer science, engineering, physics, maths, or a related STEM field (some roles may require a 2:1).Passion for technology and innovation, with a problem-solving mindset.Flexibility to travel and work on projects across the UK.Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting (typically 5-10 years of continuous UK residency).Technical skills we value include: Programming Languages: Proficiency in one or more of C++, Java, Python, JavaScript, or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects). Data & Analytics: Experience with SQL, NoSQL, or analytics tools; interest in machine learning or AI technologies is a plus. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Apr 02, 2026
Full time
Technical Graduate 2026 - Space Defence & Intelligence Position Description At CGI, we empower the next generation of innovators to shape the future of technology and security. As part of , you'll join a community of graduates who are turning ambition into action and possibility into progress. As a Technical Graduate in our Space, Defence & Intelligence business unit, you'll contribute to projects that protect national interests, advance space discovery and deliver intelligence solutions that matter. From your very first day, you'll be trusted to take ownership, think creatively and be supported by experts who will help you build the skills to define your career. Your future duties and responsibilities In this role, you'll apply your STEM expertise to projects that keep the UK and its global partners secure. You will:Design, develop, and test technical solutions for live projects.Collaborate with cross-functional teams to solve complex real-world challenges.Explore and apply emerging technologies in areas such as cyber, cloud, space, and mission systems.Support secure systems that underpin the UK's national infrastructure.Innovate alongside other graduates, taking part in early careers initiatives that go beyond your day-to-day role.Every contribution you make will help deliver outcomes with lasting impact. Locations Technical Graduate roles in our Space, Defence and Intelligence area are available in London, Leatherhead, Chippenham, Reading, Bristol , Gloucester and Manchester . As CGI is a consultancy, you may be required to work in different locations, so flexibility and a willingness to travel are key. Why Join Us? At CGI, you'll be part of a culture that celebrates diversity, inclusion, and collaboration, where your perspective is valued and your ideas contribute to meaningful outcomes. Your journey starts with a structured Early Careers Induction Programme, giving you the foundations to succeed, along with 24/7 e-learning and opportunities to gain professional certifications that build your expertise. You'll also join our Student Kick-start Initiative, where you'll collaborate with other graduates on creative projects that deliver impact beyond your day-to-day role. CGI is an unconditionally inclusive workplace where you are respected, your voice is heard, and you can be yourself. We were recognised in the Sunday Times Best Places to Work List 2025 and named a UK 'Best Employer' by the Financial Times. We proudly hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Why Choose CGI's Space, Defence and Intelligence? For nearly 50 years, CGI has been a key player in Space, Defence & Intelligence, trusted by governments and global organizations to deliver solutions that drive innovation and protect critical infrastructure. You'll be working on some of the most exciting projects in the world, including: Satellite Navigation Systems: Helping develop the European Space Agency's Galileo system, providing critical positioning services to millions worldwide. Military Communications & Cybersecurity: Working with the UK Ministry of Defence for over 40 years. Developing secure networks to safeguard national security. Space Exploration & Environmental Monitoring: Partnering with NASA and other agencies to contribute to earth observation satellites that monitor climate change.Benefits Along with a competitive salary and a £1000 joining bonus, you'll enjoy benefits that support every stage of your journey. You'll share in CGI's success through our matched share scheme, have access to private healthcare, well-being programmes, and professional training, and build financial security with a competitive pension. Beyond the day job, you'll connect with others through graduate networks, diversity groups, and social clubs that make your time at CGI both rewarding and enjoyable. Required qualifications to be successful in this role We're seeking ambitious graduates who are passionate about technology and eager to apply their skills to projects that make a real difference. You'll bring a strong academic background in STEM, curiosity to explore new ideas, and flexibility to take on diverse projects across the UK. Due to the sensitive nature of projects within the Space, Defence and Intelligence sector, candidates must meet security clearance requirements. All applicants must typically have 5 to 10 years of continuous residency in the UK, and be a UK national holding only a UK passport. You should have:A minimum 2:2 degree in computer science, engineering, physics, maths, or a related STEM field (some roles may require a 2:1).Passion for technology and innovation, with a problem-solving mindset.Flexibility to travel and work on projects across the UK.Eligibility for Baseline Personnel Security Standard (BPSS) clearance, with many roles requiring higher National Security Vetting (typically 5-10 years of continuous UK residency).Technical skills we value include: Programming Languages: Proficiency in one or more of C++, Java, Python, JavaScript, or C#. Systems & Tools: Familiarity with Linux/Unix, version control systems (e.g., Git), and DevOps tools (e.g., Docker, Kubernetes). Cloud Technologies: Exposure to platforms such as AWS, Azure, or Google Cloud. Software Development Practices: Understanding of Agile and DevOps methodologies. Networking & Cybersecurity: Awareness of networking protocols, firewalls, VPNs, and cybersecurity principles (highly valuable for defence-related projects). Data & Analytics: Experience with SQL, NoSQL, or analytics tools; interest in machine learning or AI technologies is a plus. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Apr 02, 2026
Full time
Associate Applied AI & ML Scientist - Markets Operations LONDON, United Kingdom Job Information Job Identification Job Category Predictive Science Business Unit Commercial & Investment Bank Posting Date 01/14/2026, 03:30 PM Locations 25 Bank Street, Canary Wharf, London, Greater London, E14 5JP, GB Job Schedule Full time Job Description Are you passionate about using AI and machine learning to solve real-world business challenges? Join us and help shape the future of Market Operations through cutting-edge technology. You'll collaborate with talented professionals, grow your skills, and make a meaningful impact on our business. At JPMorgan Chase, we empower you to innovate, automate, and deliver solutions that matter. Be part of a team where your ideas drive progress and your expertise is valued. As an Applied AI & ML Scientist in the Market Operations team, you will design, develop, and deploy AI/ML solutions that enhance operational efficiency and accuracy. You will collaborate with business stakeholders and technology partners to understand pain points, translate requirements into technical solutions, and ensure successful adoption of AI-driven tools. Your work will directly support Market Operations, driving impactful change and continuous improvement. Job Responsibilities: Develop and implement advanced machine learning models and algorithms to solve operational challenges Deploy AI/ML solutions for process automation, anomaly detection, document intelligence, and workflow optimization Architect and oversee generative AI applications to automate and enhance business processes Build and maintain production-grade AI/ML tools tailored to Market Operations Monitor and improve the performance of deployed models and solutions Analyze large datasets to identify trends, inefficiencies, and opportunities for automation Collaborate with subject matter experts to gather requirements and validate solutions Document methodologies, results, and best practices for knowledge sharing Stay current with AI/ML advancements and apply relevant techniques to business problems Required Qualifications, Capabilities, and Skills: BSc/MSc in Data Science, Computer Science, Artificial Intelligence, or a closely related field (or equivalent experience) Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands-on experience training, deploying, and maintaining machine learning models in production Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps Exposure to cloud platforms (such as AWS, GCP, Azure) Demonstrated problem-solving skills and ability to work independently or in small teams Ability to communicate technical concepts clearly to business stakeholders and non-technical audiences Preferred Qualifications, Capabilities, and Skills: PhD in Data Science, Computer Science, Artificial Intelligence, or a related field Experience in financial services, banking, or Market Operations environments Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
J C Bamford Excavators Ltd
Rocester, Staffordshire
Click here for our Careers & Life at JCB pages About the role: As members of the JCB Service team, our Technical Trainers play a vital role in ensuring the field-based Service Engineers within our Global JCB dealer network are trained in readiness for new product launch and that ongoing training needs are met. You'll be among the first to work with our new products and technologies which include electric and hydrogen power and many other innovations. JCB Technical Trainers are part of an award-winning team who design and deliver courses which support our JCB's dealer network in the UK and overseas in the service, repair and maintenance of JCB machines, propulsion, control systems, and major components. This role will lead training development and delivery for engines and one of biggest selling machine ranges: Telehandlers. With a varied use of applications, new technology and a growing product range, Telehandlers is one of the most exciting ranges to be involved with. What does this role involve day to day? Deliver a regular curriculum of telehandler and engines training in the UK and abroad. Engaging with product engineering teams to create training material and technical updates for new telehandlers and engines. Taking ownership for New Product Introduction projects for Telehandlers and engines to determine training needs, develop technical content, delivery training. Developing the content and structure for online learning which media development colleagues will bring to life through engaging eLearning modules and assessments, remote training packages, or classroom/workshop-based hands on training. Developing and update course material and curriculum for delivery to groups of JCB and Dealer Service staff using eLearning, remote and workshop delivery techniques. Delivering engines / transmissions Apprentice Block Weeks for the UK Dealer Engineer Apprentice Programme. Supporting the development of training pathways for Apprentice, Engineer and Master Technician grading across the JCB product portfolio. Working with our training team worldwide to ensure they are equipped to train our global dealers to the standard of content and delivery expected. Supporting the Global Aftersales and Technical Training Manager with training plans to ensure dealers are suitably trained to support our products. This will be suited to you if You're experienced with the systems onboard telehandlers and OEM engines. You have interpersonal confidence to deliver training with participants including dealer engineers, apprentices and seek information and support from peers within the business. You have a strong technical background in the essential systems of construction or agricultural machinery including hydraulics, electrics, engines and driveline. You're interested in training and development to help others reach their full potential and a desire achieve "First time fix" that maximises customer satisfaction and machine uptime. You're motivated by a can do approach to take initiative and work with others to overcome challenges. You're self motivated and demonstrated ability to work independently and quickly form relationships with internal and external stakeholders. You have excellent communication skills and an ability to engage and inspire training participants. You're familiar with machine schematics and drawings for electrical, software, hydraulics, and parts / assemblies. You're PC literate with proficiency in the MS Office suite and confidence in the use of MS PowerPoint, Word, Excel and Teams - use of Webex for training delivery desirable. What happens next? Ordinarily, our Resourcing Team reviews and shortlists CVs. If shortlisted, you'll speak to one of our Recruiters to discuss the role further. Our interview process usually consists of an initial Teams interview followed by an in person interview. We'll keep in touch throughout the process but if you have any questions, please get in touch at What's in it for you? This is your chance to join a company that values expertise not only in rewards but also in real employee care. At JCB you don't just get a competitive salary, 33 days' holiday and access to our company pension-you can also use our onsite gym, in house doctor, dentist and visiting optician. We have an ULEV car scheme available for our employees too. Then there's the JCB Rewards Hub, which gives you discounts with high street retailers. Feel like biking to work? There's our Cycle to Work Scheme. We value diversity and welcome applications from candidates from all backgrounds. We're committed to ensuring our recruitment process is fair and inclusive. If you face any accessibility challenges with your online application and require additional support, you have the option of speaking to a member of our Recruitment Team who can support you to complete an application in an alternative format. If you would benefit from this support, please email , and a member of the team will be in touch. Recruitment Agencies: JCB does not accept any speculative approaches to present candidates for advertised vacancies.
Apr 02, 2026
Full time
Click here for our Careers & Life at JCB pages About the role: As members of the JCB Service team, our Technical Trainers play a vital role in ensuring the field-based Service Engineers within our Global JCB dealer network are trained in readiness for new product launch and that ongoing training needs are met. You'll be among the first to work with our new products and technologies which include electric and hydrogen power and many other innovations. JCB Technical Trainers are part of an award-winning team who design and deliver courses which support our JCB's dealer network in the UK and overseas in the service, repair and maintenance of JCB machines, propulsion, control systems, and major components. This role will lead training development and delivery for engines and one of biggest selling machine ranges: Telehandlers. With a varied use of applications, new technology and a growing product range, Telehandlers is one of the most exciting ranges to be involved with. What does this role involve day to day? Deliver a regular curriculum of telehandler and engines training in the UK and abroad. Engaging with product engineering teams to create training material and technical updates for new telehandlers and engines. Taking ownership for New Product Introduction projects for Telehandlers and engines to determine training needs, develop technical content, delivery training. Developing the content and structure for online learning which media development colleagues will bring to life through engaging eLearning modules and assessments, remote training packages, or classroom/workshop-based hands on training. Developing and update course material and curriculum for delivery to groups of JCB and Dealer Service staff using eLearning, remote and workshop delivery techniques. Delivering engines / transmissions Apprentice Block Weeks for the UK Dealer Engineer Apprentice Programme. Supporting the development of training pathways for Apprentice, Engineer and Master Technician grading across the JCB product portfolio. Working with our training team worldwide to ensure they are equipped to train our global dealers to the standard of content and delivery expected. Supporting the Global Aftersales and Technical Training Manager with training plans to ensure dealers are suitably trained to support our products. This will be suited to you if You're experienced with the systems onboard telehandlers and OEM engines. You have interpersonal confidence to deliver training with participants including dealer engineers, apprentices and seek information and support from peers within the business. You have a strong technical background in the essential systems of construction or agricultural machinery including hydraulics, electrics, engines and driveline. You're interested in training and development to help others reach their full potential and a desire achieve "First time fix" that maximises customer satisfaction and machine uptime. You're motivated by a can do approach to take initiative and work with others to overcome challenges. You're self motivated and demonstrated ability to work independently and quickly form relationships with internal and external stakeholders. You have excellent communication skills and an ability to engage and inspire training participants. You're familiar with machine schematics and drawings for electrical, software, hydraulics, and parts / assemblies. You're PC literate with proficiency in the MS Office suite and confidence in the use of MS PowerPoint, Word, Excel and Teams - use of Webex for training delivery desirable. What happens next? Ordinarily, our Resourcing Team reviews and shortlists CVs. If shortlisted, you'll speak to one of our Recruiters to discuss the role further. Our interview process usually consists of an initial Teams interview followed by an in person interview. We'll keep in touch throughout the process but if you have any questions, please get in touch at What's in it for you? This is your chance to join a company that values expertise not only in rewards but also in real employee care. At JCB you don't just get a competitive salary, 33 days' holiday and access to our company pension-you can also use our onsite gym, in house doctor, dentist and visiting optician. We have an ULEV car scheme available for our employees too. Then there's the JCB Rewards Hub, which gives you discounts with high street retailers. Feel like biking to work? There's our Cycle to Work Scheme. We value diversity and welcome applications from candidates from all backgrounds. We're committed to ensuring our recruitment process is fair and inclusive. If you face any accessibility challenges with your online application and require additional support, you have the option of speaking to a member of our Recruitment Team who can support you to complete an application in an alternative format. If you would benefit from this support, please email , and a member of the team will be in touch. Recruitment Agencies: JCB does not accept any speculative approaches to present candidates for advertised vacancies.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 02, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full-time position in our Kidlington and Harwell offices. Our flexible working policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Senior Research Software Engineer to architect and develop software across the full quantum control stack, enabling high-performance operation of both quantum computers and quantum sensors. This role spans low-level hardware integration, real-time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings deep systems programming expertise, experience with hardware-adjacent or real-time systems, and a strong foundation in scientific or high-performance computing, with a passion for building the core software that drives next-generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto-mechanical engineers, and electrical engineers, to solve complex problems and deliver high-quality software solutions. Empower interdisciplinary teams to create the tools they need by teaching engineering and programming best practices. Mentor and guide junior engineers, fostering their growth and enhancing the team's technical expertise. Lead code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real-time embedded kernels to distributed and cloud-based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field and a minimum of 5 years prior work experience in a scientific domain. Experience with Python and at least one compiled language, with a desire to learn and work in Rust. Experience with Linux and virtualization technologies like Docker. Good verbal and written communication skills, able to effectively share information with technical and non-technical staff. Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance. Skilled in typical software engineering disciplines: testing, debugging, version control, error-handling, readability, documentation, general code health, etc. Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain-specific experience in statistics, machine learning, or AMO physics. Experience with Numpy, Scipy, and Pytorch. Experience with image analysis, emphasis on realtime object detection. Experience with databases (relational and non-relational) including but not limited to timeseries data, SQL, and ETL processes. Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions. Experince developing basic GUIs and/or web front-end applications. EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
Apr 02, 2026
Full time
A leading financial institution in Greater London seeks an Associate Applied AI & ML Scientist to design and implement advanced AI/ML solutions in Market Operations. The role demands strong data science skills and collaboration with various stakeholders. Ideal candidates will have a background in data science, machine learning, and relevant programming experience. This position offers a chance to drive innovation in the financial sector.
We are seeking a highly experienced Health & Safety Managerto drive safety strategy, compliance, and continuous improvement across all operational sites and field-based teams. This is a senior role with responsibility for the health, safety, and food hygiene of approximately 715 engineering, merchandising and logistics staff, across 13 depots and 2 office sites in the UK and Republic of Ireland. The successful candidate will champion a proactive safety culture, ensure compliance with all legal and operational H&S requirements, and provide leadership in training, auditing, and risk management. The role leads the development, implementation, and continuous improvement of facilities and health and safety strategies to ensure legal compliance and the promotion of a safe, efficient, and well-managed working environment for all employees across all levels of the organisation. The successful candidate will drive safety initiatives, manage regulatory requirements, deliver training programs, and foster a proactive safety culture while maintaining a workplace that supports business effectiveness and employee wellbeing. As a 24/7 food & drinks distribution and technology led powerhouse, Selecta provides millions of moments of joy to its end consumers throughout Europe. Our solutions include digital Vending Machines, Coffee Machines, Smart Fridges, Snack Markets and more. As such, we are uniquely positioned to address the needs of our clients and their consumers in the new hybrid work environment. Your Key Duties & Responsibilities: Monitor and enforce Health & Safety standards across all installation activities, including HGV operations, machine installations, relocations, and removals. Conduct risk assessments for installation and other customer movements as required, including but not limited to equipment handling, lifting operations, and vehicle-based work. Managing site access permits via customer portals, as required. Carry out regular site inspections and audits, ensuring compliance with company H&S policies and statutory requirements. Investigate accidents, incidents, and near-misses in field operations; implement corrective and preventive actions. Support and deliver toolbox talks, on-site training, and awareness campaigns for field staff. Maintain accurate H&S records, including risk assessments, incident reports, and training documentation. Provide guidance and advice to installation teams and supervisors on safe work practices, lifting equipment, manual handling, and vehicle operations. Promote a proactive safety culture among all field-based teams. Health & Safety Leadership: Own the company's Health & Safety strategy and compliance framework. Control of H&S, including Food Safety & Hygiene, across 11 depot sites and 2 Office sites (including any new site launches, closures and future relocation's.) Responsibility for the Health and Safety of Engineering, Merchandising and logistics field-based staff (circa 715 employees) To monitor, review and maintain Health and Safety policies and practices, making recommendations and implementing new policies and procedures as required. Deliver and support training programs, toolbox talks, and health & safety campaigns across all levels of the business. Assist in identifying training needs and develop, coordinate, and deliver targeted health and safety training to ensure employee awareness and compliance. Create, lead, and coordinate a Health & Safety Committee, ensuring representation from key functions and site locations, appointing and supporting local Health & Safety Champions at each depot to drive site-level engagement, compliance, and continuous improvement. Implementing and maintaining health and safety systems and procedures to meet specific requirements such as: checks, audits, investigations, risk assessments and accident reporting. This includes the Control of Substances Hazardous to Health (COSHH). To investigate, or where appropriate assisting others in investigating, the circumstances and causes of accidents and take necessary steps to prevent a recurrence. Monitor the services provided to external clients (CDM) and ensure that the team responds proactively to programme constraints. Oversee the preparation, maintenance and distribution of CDM Health and Safety files. Ensure HACCP is effective, building a 'culture' which drives Food Safety throughout all depot sites, ensuring that hygiene standards are being met. Management of food safety non compliances through hold and concession processes, including decision making with regards to Holds in accordance with PIUK standards A key communicator on Food Safety and Sanitation initiatives within the UK Own and manage the organisational Health & Safety E-learning platform, ensuring content is up to date, relevant, and aligned with legal and operational requirements. Provide regular reporting on training completion rates, compliance gaps, and user engagement to key stakeholders and senior leadership. Operational and Cross-Functional Leadership Collaborate with Operations, HR, IT, Finance, and Procurement to deliver integrated workplace solutions. Foster a proactive safety culture through internal communications, leadership engagement, and continuous improvement initiatives. Support business continuity planning, emergency preparedness, and crisis response across all locations. Monitor, report, and present on key H&S and property KPIs to leadership teams alongside group. Develop and manage H&S and property-related budgets, monitor service charges, and identify opportunities for cost savings and efficiency. Stay informed of market trends and legal developments relevant to property and facilities management or Health and Safety. Travel to sites across the UK and ROI as required. What You Bring to The Role Hold an appropriate level of membership of the Institute of Occupational Safety and Health, (e.g. IOSH Certified). Experience in driving and prioritising the H&S Agenda across business, with excellent H&S legislation knowledge Multi-site remit with UK wide travel (approx. 60% of the role involves travel) A background within FMCG desirable (Logistics/Retail Environments relevant too) Ability to set, plan and see through corrective and preventative actions, using root cause analysis Ability to manage cross functional 'Problem Solving' teams A good understanding of food safety & quality systems - including AIB/BRC, HACCP, etc Lead incident investigations and understand both hold and release processes & food safety risks. Excellent written and interpersonal skills and the ability to challenge constructively. Project management experience is desirable. Relevant professional qualification (e.g., IWFM, RICS, NEBOSH or IOSH) is advantageous but not essential. What's in it for you? 25 days of annual leave plus bank holidays Life assurance equivalent to 2x your yearly salary Five weeks of occupational paid sick leave for added security Extended leave policy for greater flexibility Free parking at our Head Office and other depot locations Unlimited coffee and tea at our offices to keep you refreshed Clear career progression paths with development opportunities Strong leadership support to help you thrive Employee recognition scheme to celebrate your contributions Mental health and wellbeing support, including access to mental health first aiders
Apr 02, 2026
Full time
We are seeking a highly experienced Health & Safety Managerto drive safety strategy, compliance, and continuous improvement across all operational sites and field-based teams. This is a senior role with responsibility for the health, safety, and food hygiene of approximately 715 engineering, merchandising and logistics staff, across 13 depots and 2 office sites in the UK and Republic of Ireland. The successful candidate will champion a proactive safety culture, ensure compliance with all legal and operational H&S requirements, and provide leadership in training, auditing, and risk management. The role leads the development, implementation, and continuous improvement of facilities and health and safety strategies to ensure legal compliance and the promotion of a safe, efficient, and well-managed working environment for all employees across all levels of the organisation. The successful candidate will drive safety initiatives, manage regulatory requirements, deliver training programs, and foster a proactive safety culture while maintaining a workplace that supports business effectiveness and employee wellbeing. As a 24/7 food & drinks distribution and technology led powerhouse, Selecta provides millions of moments of joy to its end consumers throughout Europe. Our solutions include digital Vending Machines, Coffee Machines, Smart Fridges, Snack Markets and more. As such, we are uniquely positioned to address the needs of our clients and their consumers in the new hybrid work environment. Your Key Duties & Responsibilities: Monitor and enforce Health & Safety standards across all installation activities, including HGV operations, machine installations, relocations, and removals. Conduct risk assessments for installation and other customer movements as required, including but not limited to equipment handling, lifting operations, and vehicle-based work. Managing site access permits via customer portals, as required. Carry out regular site inspections and audits, ensuring compliance with company H&S policies and statutory requirements. Investigate accidents, incidents, and near-misses in field operations; implement corrective and preventive actions. Support and deliver toolbox talks, on-site training, and awareness campaigns for field staff. Maintain accurate H&S records, including risk assessments, incident reports, and training documentation. Provide guidance and advice to installation teams and supervisors on safe work practices, lifting equipment, manual handling, and vehicle operations. Promote a proactive safety culture among all field-based teams. Health & Safety Leadership: Own the company's Health & Safety strategy and compliance framework. Control of H&S, including Food Safety & Hygiene, across 11 depot sites and 2 Office sites (including any new site launches, closures and future relocation's.) Responsibility for the Health and Safety of Engineering, Merchandising and logistics field-based staff (circa 715 employees) To monitor, review and maintain Health and Safety policies and practices, making recommendations and implementing new policies and procedures as required. Deliver and support training programs, toolbox talks, and health & safety campaigns across all levels of the business. Assist in identifying training needs and develop, coordinate, and deliver targeted health and safety training to ensure employee awareness and compliance. Create, lead, and coordinate a Health & Safety Committee, ensuring representation from key functions and site locations, appointing and supporting local Health & Safety Champions at each depot to drive site-level engagement, compliance, and continuous improvement. Implementing and maintaining health and safety systems and procedures to meet specific requirements such as: checks, audits, investigations, risk assessments and accident reporting. This includes the Control of Substances Hazardous to Health (COSHH). To investigate, or where appropriate assisting others in investigating, the circumstances and causes of accidents and take necessary steps to prevent a recurrence. Monitor the services provided to external clients (CDM) and ensure that the team responds proactively to programme constraints. Oversee the preparation, maintenance and distribution of CDM Health and Safety files. Ensure HACCP is effective, building a 'culture' which drives Food Safety throughout all depot sites, ensuring that hygiene standards are being met. Management of food safety non compliances through hold and concession processes, including decision making with regards to Holds in accordance with PIUK standards A key communicator on Food Safety and Sanitation initiatives within the UK Own and manage the organisational Health & Safety E-learning platform, ensuring content is up to date, relevant, and aligned with legal and operational requirements. Provide regular reporting on training completion rates, compliance gaps, and user engagement to key stakeholders and senior leadership. Operational and Cross-Functional Leadership Collaborate with Operations, HR, IT, Finance, and Procurement to deliver integrated workplace solutions. Foster a proactive safety culture through internal communications, leadership engagement, and continuous improvement initiatives. Support business continuity planning, emergency preparedness, and crisis response across all locations. Monitor, report, and present on key H&S and property KPIs to leadership teams alongside group. Develop and manage H&S and property-related budgets, monitor service charges, and identify opportunities for cost savings and efficiency. Stay informed of market trends and legal developments relevant to property and facilities management or Health and Safety. Travel to sites across the UK and ROI as required. What You Bring to The Role Hold an appropriate level of membership of the Institute of Occupational Safety and Health, (e.g. IOSH Certified). Experience in driving and prioritising the H&S Agenda across business, with excellent H&S legislation knowledge Multi-site remit with UK wide travel (approx. 60% of the role involves travel) A background within FMCG desirable (Logistics/Retail Environments relevant too) Ability to set, plan and see through corrective and preventative actions, using root cause analysis Ability to manage cross functional 'Problem Solving' teams A good understanding of food safety & quality systems - including AIB/BRC, HACCP, etc Lead incident investigations and understand both hold and release processes & food safety risks. Excellent written and interpersonal skills and the ability to challenge constructively. Project management experience is desirable. Relevant professional qualification (e.g., IWFM, RICS, NEBOSH or IOSH) is advantageous but not essential. What's in it for you? 25 days of annual leave plus bank holidays Life assurance equivalent to 2x your yearly salary Five weeks of occupational paid sick leave for added security Extended leave policy for greater flexibility Free parking at our Head Office and other depot locations Unlimited coffee and tea at our offices to keep you refreshed Clear career progression paths with development opportunities Strong leadership support to help you thrive Employee recognition scheme to celebrate your contributions Mental health and wellbeing support, including access to mental health first aiders
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
Apr 01, 2026
Full time
We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects. Who we are At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology. Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites. We're looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission. Who you are You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery. You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups. You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical. You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines. You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines. What sets you apart (preferred but not required) You hold a BSc or above in a scientific or technical field. You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery. You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts. Your responsibilities Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation. Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams. Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards. Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes. Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track. Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals. Report to Senior Leadership, ensuring visibility into progress, risks and key decisions. As a member of the operations team, provide wider operational support where needed. Apply We offer strongly competitive compensation and benefits packages, including: Private health insurance Pension contributions Generous leave policies (including gender neutral parental leave) Hybrid working Travel opportunities and more We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models. We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Apr 01, 2026
Full time
ABOUT THE COMPANY Infleqtion is a global quantum technology company solving the world's most challenging problems. The company harnesses quantum mechanics to build and integrate quantum computers, sensors, and networks. From fundamental physics to leading edge commercial products, Infleqtion enables "quantum everywhere" through our ecosystem of devices and platforms. Our mission is to commercialise atom-based quantum products that provide orders of magnitude improvements in performance and computing applications. LOCATION Infleqtion has offices in the USA, United Kingdom and Australia. This is a full time position in our Kidlington and Harwell offices. Our flexible working policy enables all full time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is seeking a Research Software Engineer to develop and maintain software across the full quantum control stack, enabling high performance operation of both quantum computers and quantum sensors. This role spans low level hardware integration, real time control systems, waveform generation, calibration automation, experiment orchestration, and scalable data pipelines. You will work at the boundary between physics and production software, partnering with physicists and hardware engineers to translate experimental requirements into robust, deterministic, and extensible control infrastructure. The ideal candidate brings programming expertise, familiarity with hardware adjacent or real time systems, and a strong foundation in scientific or high performance computing, with a passion for building the core software that drives next generation quantum technologies. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Duties, responsibilities, and activities may change, or new ones may be assigned at any time. Design, develop, and deploy reliable, maintainable, scalable, and fault tolerant backend services and frameworks that control and calibrate our quantum hardware. Collaborate with interdisciplinary teams, including scientists, opto mechanical engineers, and electrical engineers, to solve complex problems and deliver high quality software solutions. Participate in code and design reviews, upholding engineering best practices and promoting a culture of quality and collaboration. Support and debug all layers of the control stack from real time embedded kernels to distributed and cloud based services. Advocate for and implement innovative software development methodologies and tools to improve team efficiency and product quality. Bachelor's degree in Engineering, Applied Mathematics, Physics or related field Master's degree in Engineering, Applied Mathematics, Physics or related field or 2 years of work experience in a scientific domain Experience with modern Python development. Experience in other languages, such as Rust or C++ would be advantageous but not essential. Good verbal and written communication skills, able to effectively share information with technical and non technical staff Good collaboration skills, able to work in a team environment where engagement and participation are an expected part of successful job performance Desire to constantly improve and learn inside and outside of expertise Desirable Skills or Knowledge Domain specific experience in statistics, machine learning, or AMO physics Experience with Linux and virtualization technologies like Docker or Kubernetes Experience with Numpy, Scipy, and Pytorch Experience with image analysis, emphasis on real time object detection Experience with databases (relational and non relational) including but not limited to timeseries data, SQL, and ETL processes Experience creating and maintaining CI/CD pipelines, and Python package creation with C or Rust extensions Experience developing basic GUIs and/or web front end applications EQUAL OPPORTUNITY Regardless of your interest in the quantum industry, you can take pride in the fact that Infleqtion is building an ecosystem of quantum technologies and commercial products, driving the industry towards the future. Studies reveal that while men apply for jobs when they meet an average of 60% of the requirements, women and other groups tend to apply only when they meet all the criteria. If you believe you have the potential but don't meet every single point in our job advertisement, please don't hesitate to contact us! We would love to chat with you and see how you could bring great value to our team. Our goal is to find exceptional individuals who can enrich our team culture, actively contribute, and have a genuine passion for their work. Here you have freedom to embrace your whole self: who you love, your gender identity and expression, skin colour, age, appearance, disability, neurodiversity, DNA, military/veteran status, citizenship, and other factors that make up who you are. Your uniqueness is valued, welcomed, and appreciated here. We are dedicated to providing a positive workplace and base all employment decisions on your qualifications, performance, merits, as well as business needs. We are proud to be an Equal Employment Opportunity Employer. In addition to your base compensation, we offer a generous Total Rewards program which includes: Competitive salary Incentive Stock Option Plan Generous company 10% pension contribution regardless of employee contribution Unlimited PTO BUPA healthcare after probation period Cycle to work and Technology scheme
Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd Posted Date: Mar 5 2026. At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK's state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. As a Machine Learning Engineer focusing on applications in oncology, you will be expected to: Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets. Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). • Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field Experience in Python programming and knowledge in machine learning, statistics, and applied math. Familiarity with modern machine learning methods (generative models, representation learning) Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems Experience with at least one Deep Learning framework such as PyTorch Preferred Qualifications: If you have the following characteristics, they would be a plus: PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field. Experience in analyzing real-world and/or clinical data. Experience in incorporating agentic models into ML workflows Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services. Knowledge of cancer biology and precision oncology. Excellent written and verbal communication skills. Ability to digest, synthesize, and implement innovative methods from scientific literature. Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices. Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day. High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus Publication in natural sciences would be a plus # GSKAIML • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Apr 01, 2026
Full time
Job description Site Name: Cambridge 300 Technology Square, London The Stanley Building, South San Francisco 611 Gateway Blvd Posted Date: Mar 5 2026. At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop transformational medicines using the power of genetics, functional genomics and machine learning. AI will also play a role in how we diagnose and use medicines to enable everyone to do more feel better and live longer. It is an ambitious vision that will require the development of products at the cutting edge of Machine Learning and AI. The opportunities for machine learning extend to many other areas of our business, including medicine safety, manufacturing, and supply chain. To realize these opportunities, GSK has created a global Artificial Intelligence and Machine learning group (AI/ML), with locations in London, San Francisco, Boston, Philadelphia, and Heidelberg, to focus on the development and application of machine learning to problems of critical importance at GSK. We possess a world-leading data and computational environment (including specialist hardware) to enable large-scale, scientific experiments that exploit GSK's unique access to data. By actively engaging with the machine learning community and publishing our research, code and models built on public data, the AI/ML group operates at the cutting-edge of machine learning research. To help us, we seek a passionate researcher who wishes to turn their talents to the application of causal machine learning to the healthcare sector. You will be working with multiple Research Engineers on building products to support multiple large-scale projects within AI/ML. In addition, the researcher will learn about the pharmaceutical industry and software engineering and translate their research into tools that aid discovery and development of transformational medicines and vaccines. You will have access to outstanding experts in biology, clinical and translational research, chemistry, (software) engineering, data science and machine learning; unrivalled data sources and GSK's state-of-the-art laboratory and compute infrastructure to help you develop and validate your machine learning research. As a Machine Learning Engineer focusing on applications in oncology, you will be expected to: Design and implement novel scientific approaches for biophysical modeling and foundation model-driven analysis of multi-modal clinical and genomic data for biomarker and target discovery to improve patient selection and enable next-generation assets. Design, develop, and implement analytical solutions using a variety of commercial and open-source tools (common tools include PyTorch and scikit-learn). • Connect and collaborate with subject matter experts in biology, genomics, and medicine. Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models. Develop and embed automated and agentic processes for predictive model validation, deployment, and implementation. Deploy your algorithms to production to identify actionable insights from large databases. Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Master's degree in computer science, applied math, statistics, physics, systems biology, computational biology, bioinformatics, or related field Experience in Python programming and knowledge in machine learning, statistics, and applied math. Familiarity with modern machine learning methods (generative models, representation learning) Experience in building deep learning models, preferably with exposure to biophysical modeling, functional genomics, molecular and cellular biology or to modeling dynamical systems Experience with at least one Deep Learning framework such as PyTorch Preferred Qualifications: If you have the following characteristics, they would be a plus: PhD in computer science, applied mathematics, statistics, physics, systems biology, computational biology, bioinformatics, or a related field. Experience in analyzing real-world and/or clinical data. Experience in incorporating agentic models into ML workflows Understanding of best practices in software engineering, including training and operating algorithms at scale, and production deployment of ML services. Knowledge of cancer biology and precision oncology. Excellent written and verbal communication skills. Ability to digest, synthesize, and implement innovative methods from scientific literature. Ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices. Ability to work autonomously and collaboratively as part of a team, both teaching and learning every day. High impact publications at venues such as NeurIPS, ICML, ICLR etc. would be a plus Publication in natural sciences would be a plus # GSKAIML • If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. 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, immunology and inflammation; oncology; HIV; and infectious diseases to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is leading an era of autonomous science - an adaptable system where AI agents navigate the complexity of biology and chemistry to discover medicines faster and better. As the Staff Product Manager for Agentic Systems, you will define the technical and scientific capabilities required for our next suite of capabilities. You will sit at the intersection of our massive proprietary data generation engine and our cutting-edge AI models, building the "nervous system" that allows agents to reason, plan, and execute experiments in our automated labs. This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner with engineering leadership to solve a critical challenge: How do we prioritize the next autonomous science capabilities with the most impact on our drug discovery pipeline, while the definition of "best practices" for AI agents changes monthly? You will balance the need for durable, scalable orchestration infrastructure with the critical need for cycles of experimentation, ensuring we learn fast, validate agent architectures, and avoid cementing solutions before we understand the problem space. In this role, you will: Define the Architecture for Autonomy: Partner with engineering leadership to scope and build the systems that connect our in silico models (the "brain") with our physical automated labs (the "body"), enabling closed-loop, autonomous discovery. Drive Hypothesis-Driven Product Development: Lead cycles of experimentation to test different agentic frameworks. You will embrace ambiguity, helping the team decide when to build durable shared services and when to build rapid, throw-away prototypes to learn what works. Operate as a Translator: Bridge the gap between "wet lab" realities and "dry lab" possibilities. You will translate the needs of drug discovery programs into technical requirements for agent reasoning, ensuring our systems optimize for information gain rather than just volume. Evangelize the "Human-in-the-loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery. The Team You'll Join You will join a cross-functional team of software engineers, data scientists, and AI/ML scientists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will collaborate closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting-edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models). The Experience You'll Need Navigating Ambiguity in Technical Products: 5+ years of product management experience, with a focus on platform, infrastructure, or AI/ML products where the technical solution was not immediately obvious. Experimentation-First Mindset: A proven track record of managing products through rapid prototyping cycles. You understand the difference between "building to last" and "building to learn," and you know when to apply each strategy. Technical Fluency in Modern AI: While you don't need to be an engineer, you must be fluent in the concepts of LLMs, agentic workflows, APIs, and modern data infrastructure. You can hold your own in a debate about orchestration architectures. Systems Thinking: The ability to visualize complex ecosystems. You can see how a change in a lab protocol impacts an agent's decision-making ability three steps downstream. Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, Robotics Engineers, AI Researchers) around a unified technical vision. Working Location & Compensation: This is an office-based, hybrid position at one of our office in London. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 - £98,700 . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Apr 01, 2026
Full time
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is leading an era of autonomous science - an adaptable system where AI agents navigate the complexity of biology and chemistry to discover medicines faster and better. As the Staff Product Manager for Agentic Systems, you will define the technical and scientific capabilities required for our next suite of capabilities. You will sit at the intersection of our massive proprietary data generation engine and our cutting-edge AI models, building the "nervous system" that allows agents to reason, plan, and execute experiments in our automated labs. This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner with engineering leadership to solve a critical challenge: How do we prioritize the next autonomous science capabilities with the most impact on our drug discovery pipeline, while the definition of "best practices" for AI agents changes monthly? You will balance the need for durable, scalable orchestration infrastructure with the critical need for cycles of experimentation, ensuring we learn fast, validate agent architectures, and avoid cementing solutions before we understand the problem space. In this role, you will: Define the Architecture for Autonomy: Partner with engineering leadership to scope and build the systems that connect our in silico models (the "brain") with our physical automated labs (the "body"), enabling closed-loop, autonomous discovery. Drive Hypothesis-Driven Product Development: Lead cycles of experimentation to test different agentic frameworks. You will embrace ambiguity, helping the team decide when to build durable shared services and when to build rapid, throw-away prototypes to learn what works. Operate as a Translator: Bridge the gap between "wet lab" realities and "dry lab" possibilities. You will translate the needs of drug discovery programs into technical requirements for agent reasoning, ensuring our systems optimize for information gain rather than just volume. Evangelize the "Human-in-the-loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery. The Team You'll Join You will join a cross-functional team of software engineers, data scientists, and AI/ML scientists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will collaborate closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting-edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models). The Experience You'll Need Navigating Ambiguity in Technical Products: 5+ years of product management experience, with a focus on platform, infrastructure, or AI/ML products where the technical solution was not immediately obvious. Experimentation-First Mindset: A proven track record of managing products through rapid prototyping cycles. You understand the difference between "building to last" and "building to learn," and you know when to apply each strategy. Technical Fluency in Modern AI: While you don't need to be an engineer, you must be fluent in the concepts of LLMs, agentic workflows, APIs, and modern data infrastructure. You can hold your own in a debate about orchestration architectures. Systems Thinking: The ability to visualize complex ecosystems. You can see how a change in a lab protocol impacts an agent's decision-making ability three steps downstream. Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, Robotics Engineers, AI Researchers) around a unified technical vision. Working Location & Compensation: This is an office-based, hybrid position at one of our office in London. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 - £98,700 . You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share: We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn . Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process. Recruitment & Staffing Agencies: Recursion Pharmaceuticals and its affiliate companies do not accept resumes from any source other than candidates. The submission of resumes by recruitment or staffing agencies to Recursion or its employees is strictly prohibited unless contacted directly by Recursion's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Recursion, and Recursion will not owe any referral or other fees. Our team will communicate directly with candidates who are not represented by an agent or intermediary unless otherwise agreed to prior to interviewing for the job.
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is leading an era of autonomous science - an adaptable system where AI agents navigate the complexity of biology and chemistry to discover medicines faster and better. As the Staff Product Manager for Agentic Systems, you will define the technical and scientific capabilities required for our next suite of capabilities. You will sit at the intersection of our massive proprietary data generation engine and our cutting edge AI models, building the "nervous system" that allows agents to reason, plan, and execute experiments in our automated labs. This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner with engineering leadership to solve a critical challenge: how do we prioritize the next autonomous science capabilities with the most impact on our drug discovery pipeline, while the definition of "best practices" for AI agents changes monthly? You will balance the need for durable, scalable orchestration infrastructure with the critical need for cycles of experimentation, ensuring we learn fast, validate agent architectures, and avoid cementing solutions before we understand the problem space. In this role, you will: Define the Architecture for Autonomy: Partner with engineering leadership to scope and build the systems that connect our in silico models (the "brain") with our physical automated labs (the "body"), enabling closed loop, autonomous discovery. Drive Hypothesis-Driven Product Development: Lead cycles of experimentation to test different agentic frameworks. You will embrace ambiguity, helping the team decide when to build durable shared services and when to build rapid, throw away prototypes to learn what works. Operate as a Translator: Bridge the gap between "wet lab" realities and "dry lab" possibilities. You will translate the needs of drug discovery programs into technical requirements for agent reasoning, ensuring our systems optimize for information gain rather than just volume. Evangelize the "Human in the loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery. The Team You'll Join You will join a cross functional team of software engineers, data scientists, and AI/ML scientists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will collaborate closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models). The Experience You'll Need Navigating Ambiguity in Technical Products: 5+ years of product management experience, with a focus on platform, infrastructure, or AI/ML products where the technical solution was not immediately obvious. Experimentation-First Mindset: A proven track record of managing products through rapid prototyping cycles. You understand the difference between "building to last" and "building to learn," and you know when to apply each strategy. Technical Fluency in Modern AI: While you don't need to be an engineer, you must be fluent in the concepts of LLMs, agentic workflows, APIs, and modern data infrastructure. You can hold your own in a debate about orchestration architectures. Systems Thinking: The ability to visualize complex ecosystems. You can see how a change in a lab protocol impacts an agent's decision making ability three steps downstream. Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, Robotics Engineers, AI Researchers) around a unified technical vision. Working Location & Compensation This is an office based, hybrid position at one of our offices in London. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 - £98,700. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Apr 01, 2026
Full time
Your work will change lives. Including your own. Please note: Our offices will be closed for our annual winter break from December 22, 2025, to January 2, 2026. Our response to your application will be delayed. The Impact You'll Make Recursion is leading an era of autonomous science - an adaptable system where AI agents navigate the complexity of biology and chemistry to discover medicines faster and better. As the Staff Product Manager for Agentic Systems, you will define the technical and scientific capabilities required for our next suite of capabilities. You will sit at the intersection of our massive proprietary data generation engine and our cutting edge AI models, building the "nervous system" that allows agents to reason, plan, and execute experiments in our automated labs. This role is not about maintaining a static roadmap; it is about navigating the frontier of a rapidly evolving field. You will partner with engineering leadership to solve a critical challenge: how do we prioritize the next autonomous science capabilities with the most impact on our drug discovery pipeline, while the definition of "best practices" for AI agents changes monthly? You will balance the need for durable, scalable orchestration infrastructure with the critical need for cycles of experimentation, ensuring we learn fast, validate agent architectures, and avoid cementing solutions before we understand the problem space. In this role, you will: Define the Architecture for Autonomy: Partner with engineering leadership to scope and build the systems that connect our in silico models (the "brain") with our physical automated labs (the "body"), enabling closed loop, autonomous discovery. Drive Hypothesis-Driven Product Development: Lead cycles of experimentation to test different agentic frameworks. You will embrace ambiguity, helping the team decide when to build durable shared services and when to build rapid, throw away prototypes to learn what works. Operate as a Translator: Bridge the gap between "wet lab" realities and "dry lab" possibilities. You will translate the needs of drug discovery programs into technical requirements for agent reasoning, ensuring our systems optimize for information gain rather than just volume. Evangelize the "Human in the loop" Evolution: Work with scientific stakeholders to define interfaces where humans review, validate, and shape agent reasoning, ensuring our scientists evolve from "operators" to "architects" of discovery. The Team You'll Join You will join a cross functional team of software engineers, data scientists, and AI/ML scientists who build the technical bedrock that enables autonomous science, including agent orchestration, guardrails, and the connectivity between our digital and physical assets. You will collaborate closely with the Discovery teams (the users of these agents), the AI Research teams (who build cutting edge models), and our automated biology and chemistry lab teams (who generate the data that feeds into the models). The Experience You'll Need Navigating Ambiguity in Technical Products: 5+ years of product management experience, with a focus on platform, infrastructure, or AI/ML products where the technical solution was not immediately obvious. Experimentation-First Mindset: A proven track record of managing products through rapid prototyping cycles. You understand the difference between "building to last" and "building to learn," and you know when to apply each strategy. Technical Fluency in Modern AI: While you don't need to be an engineer, you must be fluent in the concepts of LLMs, agentic workflows, APIs, and modern data infrastructure. You can hold your own in a debate about orchestration architectures. Systems Thinking: The ability to visualize complex ecosystems. You can see how a change in a lab protocol impacts an agent's decision making ability three steps downstream. Communication & Influence: Strong written and oral skills to align diverse stakeholders (PhDs in Biology, Robotics Engineers, AI Researchers) around a unified technical vision. Working Location & Compensation This is an office based, hybrid position at one of our offices in London. Employees are expected to work in the office at least 50% of the time. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £72,800 - £98,700. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package. The Values We Hope You Share We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust. We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action. We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection. We move with urgency because patients are waiting. Speed isn't about rushing but about moving the needle every day. We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy-leaders take accountability for decisive action, and teams own outcomes together. We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities. Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively. More About Recursion Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up to millions of wet lab experiments weekly - and massive computational scale - owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine. Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at , or connect on X (formerly Twitter) and LinkedIn. Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Generative Biology Institute The Generative Biology Institute (GBI) is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the art facility will include more than 40,000 m of research laboratory and office space.It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary The Generative Biology Institute (GBI) is seeking enthusiastic and motivated Research Assistants to join the institute. This role is ideal for individuals looking to apply their academic training in a practical, research-intensive environment. Research Assistants will support ongoing research projects within one or more GBI research groups, assisting with experimental work, data collection and analysis, and the development and maintenance of laboratory capabilities. You will also contribute to the preparation of scientific reports, presentations, and other research outputs, working closely with researchers across GBI in a collaborative and well resourced setting dedicated to advancing engineering biology at scale. Applications to Research Groups Applicants are required to apply to specific research groups as part of their application. On the application form, you may select up to three (3) research groups. In your cover letter, please clearly indicate the group(s) you are applying to and describe your interest, relevant skills, and experience for each. Applications that do not specify research group preferences, or that select more than three groups, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Research Assistants: Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under the guidance of the senior scientists Perform routine laboratory tasks such as preparing samples, setting up equipment, and maintaining lab safety protocols Analyse experimental data using software tools. Prepare reports and presentations of findings Support the Research Group in the development of written materials, including publications, conference presentations and laboratory protocols Carry out desk based research to establish the state of the art in scientific areas related to the work of GBI Stay current on scientific advancements and technologies related to the field of synthetic biology through journals, conferences, and other academic resources Provide general day to day support to the wider team and any other duties requested of you by your group leader This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential & Desirable Knowledge, Skills and Experience: A Bachelor's degree in a relevant scientific field (e.g. Biology, Chemistry, Engineering, Computer Science) Previous experience in working in a research laboratory Ability to work effectively in a high growth, fast paced, dynamic environment. Highly organised with an ability to manage multiple projects. Excellent oral and written communication skills, inter personal skills, and the ability to work with a wide range of people from diverse backgrounds. Experience with problem solving involving multiple internal and external stakeholders We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private 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.
Apr 01, 2026
Full time
Generative Biology Institute The Generative Biology Institute (GBI) is tackling the key challenges in making biology engineerable, and thereby unlocking the unrivalled power of biology for the benefit of humanity. GBI is part of the Ellison Institute of Technology, Oxford (EIT) and is led by founding Director Jason Chin. The vision of the Generative Biology Institute is to lay the foundations for engineering biology, and unlock its potential for good. To achieve this, we must overcome two key challenges. First, we need the ability to write in the natural language of biology, enabling the rapid and scalable synthesis of entire genomes with precision. Second, we must understand what to write - determining which DNA sequences will generate biological systems that perform the desired functions. Addressing these challenges will allow us to harness the full power of biology to create transformative solutions across health, agriculture, clean energy and more. GBI will have sustained and substantial funding to support the unique scale and ambition of its ground-breaking vision for engineering biology. GBI researchers will also be supported by cutting-edge technology hubs including mass spectrometry, flow cytometry, sequencing, automation, imaging, and bioprocessing. GBI will also have access to substantial compute resources that can be leveraged to further accelerate progress, including scientific compute, bioinformatics, and machine learning. The environment at GBI will allow researchers to undertake ambitious, long-term, collaborative research, and we will actively support the translation of research to commercial applications, where appropriate. The Generative Biology Institute will commence operations in a newly renovated bespoke space in the Oxford Science Park. The team will later move to a purpose-made facility in the Oxford Science Park, currently under construction. Once complete, this state-of-the art facility will include more than 40,000 m of research laboratory and office space.It will house over 30 groups and up to 600 employees at scale, focused on solving the two critical challenges in making biology engineerable and applying the solutions to addressing the global challenges encapsulated in EIT's Humane Endeavors. Job Summary The Generative Biology Institute (GBI) is seeking enthusiastic and motivated Research Assistants to join the institute. This role is ideal for individuals looking to apply their academic training in a practical, research-intensive environment. Research Assistants will support ongoing research projects within one or more GBI research groups, assisting with experimental work, data collection and analysis, and the development and maintenance of laboratory capabilities. You will also contribute to the preparation of scientific reports, presentations, and other research outputs, working closely with researchers across GBI in a collaborative and well resourced setting dedicated to advancing engineering biology at scale. Applications to Research Groups Applicants are required to apply to specific research groups as part of their application. On the application form, you may select up to three (3) research groups. In your cover letter, please clearly indicate the group(s) you are applying to and describe your interest, relevant skills, and experience for each. Applications that do not specify research group preferences, or that select more than three groups, will not be considered. All applications must be submitted exclusively through the EIT job portal. Please do not contact Principal Investigators directly, as direct outreach will not be considered as part of the application process. Due to the volume of applications, the review and decision process may take 3-6 months. Principal Investigators currently recruiting for Research Assistants: Leopold Parts - The Parts group works to engineer and model mammalian chromosomes. In particular, the group has long term aims to delete, randomize, evolve, and model chromosome scale DNA, all with the aim of informing models of synthetic DNA function; other ideas fitting this broad remit are very welcome. Rongzhen Tian - The Tian group aims to leverage an orthogonal replication system for the accelerated evolution of complex biological functions to i) advance fundamental scientific understanding of molecular and cellular evolution, ii) develop biomolecules to tackle challenges in human health and industry, and iii) generate large scale enzyme datasets for training next generation protein design models. Jérôme Zürcher - The Zürcher group aims to develop methodology to rapidly and scalably write entire genomes of microbes and phages and to leverage these methods to i) genetically isolate organisms, ii) investigate host pathogen interactions, iii) provide a platform for large vector assembly towards Gb scale genome synthesis. Linda van Bijsterveldt - The van Bijsterveldt group aims to develop methods for building and stably transmitting synthetic chromosomes through mitosis and meiosis in mammals and plants. Projects focus on i) creating scalable platforms for constructing entire genomes, ii) transferring chromosomes between different species, and iii) controlling trait inheritance patterns. Kiarash Jamali - The Jamali group focuses on integrating novel, large databases and inductive biases in generative models of biomolecules, seeking to create next generation tools that would enable protein design of new to nature enzymatic reactions, therapeutics, and molecular motors. A particular focus will be on the integration of learned machine learning force fields with generative protein modelling. Fabian Rehm - The Rehm group works to develop and apply new approaches for the continuous evolution of target genes, and the synthesis of large microbial genome stretches. Research will focus on i) evolving complex, multi gene traits within a single experiment, ii) building selective pressures that reward desired behaviours while minimising escape routes, iii) how to borrow principles from natural evolution, such as modularity, gene amplification, or cooperation, to help engineered organisms explore richer evolutionary pathways. Jason Chin - The Chin group's work pioneers: i) the development and application of genome design and synthesis methods and ii) combines these approaches with cellular engineering for the encoded cellular synthesis of new polymers and materials. Key Responsibilities for all Research Assistants: Assist in scientific studies and experiments by collecting and analysing data under the guidance of the senior scientists Perform routine laboratory tasks such as preparing samples, setting up equipment, and maintaining lab safety protocols Analyse experimental data using software tools. Prepare reports and presentations of findings Support the Research Group in the development of written materials, including publications, conference presentations and laboratory protocols Carry out desk based research to establish the state of the art in scientific areas related to the work of GBI Stay current on scientific advancements and technologies related to the field of synthetic biology through journals, conferences, and other academic resources Provide general day to day support to the wider team and any other duties requested of you by your group leader This list is not exhaustive and the role holder may be required to undertake additional tasks and duties commensurate with the role. Essential & Desirable Knowledge, Skills and Experience: A Bachelor's degree in a relevant scientific field (e.g. Biology, Chemistry, Engineering, Computer Science) Previous experience in working in a research laboratory Ability to work effectively in a high growth, fast paced, dynamic environment. Highly organised with an ability to manage multiple projects. Excellent oral and written communication skills, inter personal skills, and the ability to work with a wide range of people from diverse backgrounds. Experience with problem solving involving multiple internal and external stakeholders We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private 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.
At UnlikelyAI, we're looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines technical depth with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end to end: from ideation and literature review to prototyping and deployment. Write high quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non technical audiences. Analyse and inspect large scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Demonstrable experience leading in an individual contributor capacity-setting technical direction, influencing others, and delivering high impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end to end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast paced environment with scientists, engineers, and non technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Apr 01, 2026
Full time
At UnlikelyAI, we're looking for a visionary Staff Applied Scientist to play a key leadership role in our Applied Science team and across the company. This is a high-impact individual contributor position with mentoring and coaching responsibilities - ideal for someone who combines technical depth with a passion for helping others grow. You'll help drive the end-to-end lifecycle of projects: from identifying opportunities in literature, through proof-of-concept, to real-world production. Your work will sit at the cutting edge of Machine Learning and reasoning systems, with a particular focus on neurosymbolic AI, complex planning, and fully explainable architectures. Why Join Us? Team You'll join a world-class group of smart, collaborative people who are deeply motivated by challenge. We move fast, support each other, and genuinely enjoy the ride. Vision Our mission is to build a novel neurosymbolic AI framework that unlocks new frontiers in explainability and reasoning - and you'll be instrumental in shaping that. Tech Our technology is truly novel. You'll get the chance to explore original ideas, tackle unsolved problems, and help define new best practices in an environment where creativity and rigour go hand in hand. What You'll Do: Convert cutting-edge research in neurosymbolic AI into real, production grade language generation systems. Design and experiment with hybrid neurosymbolic architectures that challenge current thinking in reasoning and planning. Lead applied research projects end to end: from ideation and literature review to prototyping and deployment. Write high quality, robust code that integrates neural and symbolic components. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non technical audiences. Analyse and inspect large scale datasets to support neural training and symbolic extraction. What We're Looking For: Deep learning expertise with significant industry experience, and c. 2+ years applying it to language generation, including working with Large Language Models, neurosymbolic integration and knowledge representation. Demonstrable experience leading in an individual contributor capacity-setting technical direction, influencing others, and delivering high impact work without direct management responsibilities. Experience mentoring and coaching colleagues, offering guidance on both technical and professional development. Experience with Python and common ML Frameworks like Pytorch, HF Transformers, Tensorflow, JAX. Track record working as an independent contributor capable of end to end development with demonstrable experience in utilising and deploying transformer models. Deep knowledge of machine learning fundamentals and cloud experience. Enthusiasm to learn and get up to speed with cutting edge technologies which you may not already be deeply familiar with. Excellent verbal and written communication skills with a proven track record of mentoring and coaching others. Capable of working collaboratively and proactively in a fast paced environment with scientists, engineers, and non technical stakeholders. Desirable: Use of Python libraries that encourage best practices such as pytest, pylint, black etc. Experience with symbolic reasoning engines and integration with neural networks. Strong technical writing skills as evidenced by relevant publications or blogs. Start up experience. Git/Github Proficiency working with cloud platforms for deploying hybrid AI systems. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Compensation: Compensation will be through salary and generous share options. The company has a tax efficient EMI share option scheme set up (not available to larger companies) which allows us to provide real exposure to the success of the company without taxes being due when they are paid. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
