Hamilton Barnes Associates Limited is seeking a Customer-Facing AI Data Scientist to lead LLM-driven engagements for enterprise clients. You will architect training pipelines, fine-tune models, and translate client needs into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes. The role requires deep technical expertise in transformer-based ML, experience with PyTorch and Hugging Face, and the ability to present complex concepts to senior
Oct 01, 2026
Full time
Hamilton Barnes Associates Limited is seeking a Customer-Facing AI Data Scientist to lead LLM-driven engagements for enterprise clients. You will architect training pipelines, fine-tune models, and translate client needs into actionable technical plans, partnering with sales and delivery teams to ensure commercially viable outcomes. The role requires deep technical expertise in transformer-based ML, experience with PyTorch and Hugging Face, and the ability to present complex concepts to senior
Senior C# Software Engineer - Semiconductor Metrology Abingdon, UK Senior C# Software Engineer - Semiconductor Metrology Are you an experienced C# Software Engineer who enjoys solving complex engineering problems where software directly controls real-world hardware? We're looking for a Senior C# Software Engineer to help develop the next generation of semiconductor metrology and inspection systems. You'll work on software that controls high-precision motion systems, sensors, data acquisition platforms and advanced measurement technology used by leading semiconductor manufacturers worldwide. This is a technical leadership role where you'll influence software architecture, mentor developers, and work closely with engineers and scientists developing technology operating at the leading edge of semiconductor innovation. We're adopting agentic development with Claude, but our engineers retain full ownership and accountability of the code they ship - whether they wrote it or generated it. AI is a tool that amplifies engineering expertise, not a substitute for it What you'll be doing Designing, developing, and maintaining software for AFM-based semiconductor inspection systems using C# and .NET technologies. Implementing real-time control for AFM scanning , nanometer-level positioning , and feedback loops . Developing HMI (Human-Machine Interface) applications for operator dashboards and inspection workflows. Integrating software with motion controllers , piezo actuators , and high-resolution sensors . Optimizing system performance for high-precision scanning , image processing , and data analysis . Ensuring compliance with cleanroom standards , safety protocols , and semiconductor industry certifications. Collaborating with hardware, optics, and applications teams to deliver integrated solutions. Conducting rigorous testing and validation to meet ISO , IEC , and semiconductor inspection standards. Mentoring junior engineers and contributing to architectural decisions for scalable and maintainable systems. 5+ years of experience in software development with strongproficiencyin C# , WPF ,.NET, and Windows-based applications. Solid understanding of industrial automation , motion control , and real-time systems . Experience of IPC technologies and techniques (e.g. DDS , MQTT , ZeroMQ , RabbitMQ , NamedPipes , etc.). Strong knowledge of object-oriented design , design patterns , and SOLID principles . Excellent problem-solving skills and ability to work in a fast-paced semiconductor environment. Nice to have Experience with semiconductor inspection tools , metrology systems , and image analysis algorithms . Knowledge of SCADA systems , HMI development , and industrial IoT . Knowledge of Python , C++ , and other languages. Experience with AI-assisted software development (preferably Claude Code) in a professional setting highlydesirable. Understanding of cleanroom protocols and safety standards (e.g., IEC 61508). Strong communicationand leadership skills. Qualifications Degree in Computer Science, Electrical Engineering, or related field (or equivalent experience). Infinitesima develops advanced Atomic Force Microscopy (AFM) technology that enables the next generation of semiconductor devices. Our systems combine precision engineering, advanced physics, software and data science to solve measurement challenges at nanometre scale. As we continue to scale internationally, software plays a critical role in how our systems perform, communicate and deliver value to customers. You'll join a highly skilled team of engineers and scientists building technology used to support some of the world's most advanced semiconductor manufacturing environments. This is a genuinely rare opportunity to combine C# software engineering, technical leadership and cutting-edge hardware development in one role. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews: We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. Location and work pattern: All of our new UK team members are asked to work on site here at Abingdon during their first three months with us. We offer flexible, hybrid working where possible upon completion of probation. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.
Sep 30, 2026
Full time
Senior C# Software Engineer - Semiconductor Metrology Abingdon, UK Senior C# Software Engineer - Semiconductor Metrology Are you an experienced C# Software Engineer who enjoys solving complex engineering problems where software directly controls real-world hardware? We're looking for a Senior C# Software Engineer to help develop the next generation of semiconductor metrology and inspection systems. You'll work on software that controls high-precision motion systems, sensors, data acquisition platforms and advanced measurement technology used by leading semiconductor manufacturers worldwide. This is a technical leadership role where you'll influence software architecture, mentor developers, and work closely with engineers and scientists developing technology operating at the leading edge of semiconductor innovation. We're adopting agentic development with Claude, but our engineers retain full ownership and accountability of the code they ship - whether they wrote it or generated it. AI is a tool that amplifies engineering expertise, not a substitute for it What you'll be doing Designing, developing, and maintaining software for AFM-based semiconductor inspection systems using C# and .NET technologies. Implementing real-time control for AFM scanning , nanometer-level positioning , and feedback loops . Developing HMI (Human-Machine Interface) applications for operator dashboards and inspection workflows. Integrating software with motion controllers , piezo actuators , and high-resolution sensors . Optimizing system performance for high-precision scanning , image processing , and data analysis . Ensuring compliance with cleanroom standards , safety protocols , and semiconductor industry certifications. Collaborating with hardware, optics, and applications teams to deliver integrated solutions. Conducting rigorous testing and validation to meet ISO , IEC , and semiconductor inspection standards. Mentoring junior engineers and contributing to architectural decisions for scalable and maintainable systems. 5+ years of experience in software development with strongproficiencyin C# , WPF ,.NET, and Windows-based applications. Solid understanding of industrial automation , motion control , and real-time systems . Experience of IPC technologies and techniques (e.g. DDS , MQTT , ZeroMQ , RabbitMQ , NamedPipes , etc.). Strong knowledge of object-oriented design , design patterns , and SOLID principles . Excellent problem-solving skills and ability to work in a fast-paced semiconductor environment. Nice to have Experience with semiconductor inspection tools , metrology systems , and image analysis algorithms . Knowledge of SCADA systems , HMI development , and industrial IoT . Knowledge of Python , C++ , and other languages. Experience with AI-assisted software development (preferably Claude Code) in a professional setting highlydesirable. Understanding of cleanroom protocols and safety standards (e.g., IEC 61508). Strong communicationand leadership skills. Qualifications Degree in Computer Science, Electrical Engineering, or related field (or equivalent experience). Infinitesima develops advanced Atomic Force Microscopy (AFM) technology that enables the next generation of semiconductor devices. Our systems combine precision engineering, advanced physics, software and data science to solve measurement challenges at nanometre scale. As we continue to scale internationally, software plays a critical role in how our systems perform, communicate and deliver value to customers. You'll join a highly skilled team of engineers and scientists building technology used to support some of the world's most advanced semiconductor manufacturing environments. This is a genuinely rare opportunity to combine C# software engineering, technical leadership and cutting-edge hardware development in one role. Our strength lies in the varied perspectives that come from different cultures, experiences, and identities. We believe that true innovation is fuelled by collaboration, locally and globally. We strive to foster an environment where everyone can contribute meaningfully and thrive. If you require adjustments to take part in the recruitment process, please let us know, we'll do our best to support you. A note on how we run interviews: We use AI only to transcribe our interviews so we can focus fully on you instead of scribbling notes. The AI does not take part in any decision making at any stage. All hiring decisions are made by real humans based on the conversation we have with you. Location and work pattern: All of our new UK team members are asked to work on site here at Abingdon during their first three months with us. We offer flexible, hybrid working where possible upon completion of probation. We welcome applicants from all backgrounds and aim to create a fair, supportive recruitment process. To keep things clear, this role needs someone who already has the permanent right to work in the UK. If a role calls for unique expertise that's hard to find locally, we may explore sponsorship options - though this is uncommon.
Fully on-site five days a week in central London. This successful financial services firm is growing and looking for a Marketing Manager to join its global team based in London. You will be working with an exceptionally bright, friendly and collaborative group of people in a deliberately non-hierarchical environment. Good ideas are welcomed regardless of who they come from and everyone is encouraged to contribute to the decisions that shape the company's future. Some businesses talk about giving their people a voice; here the culture is built around collaboration in a genuinely refreshing way. For many, the financial services sector conjures up images of either drab, dull offices with drab, dull people wearing drab, dull suits, or excessively and undeservedly over-confident men wearing pin-stripe suits with garish braces talking down to the waiter whilst they drink £500 bottles of wine and surround themselves with mountains of meat their rising blood pressure won't thank them for. Fortunately, neither of these scenarios applies here - this outfit is truly a great place to work and everyone is excellent at what they do and genuinely delightful to be around. You will work closely with an outstanding Marketing Director who brings real strength across brand, creative, content, thought leadership, PR and communications. You will be trusted, supported and given the freedom to make a genuine contribution while working with someone who really knows their stuff. No hovering over your shoulder. No needlessly complicated sign-off process involving seventeen people. Just plenty of opportunity to do excellent work with an excellent team. Successes are celebrated regularly and there are bonuses on top of base salary. The Role - Marketing Manager This is a hands-on marketing role for someone who enjoys making things happen and then digging into the data to see whether they worked. You will take ownership of the operational, digital and analytical side of the marketing function. The Marketing Director leads on the creative and strategic elements so this role will suit someone whose strengths complement that expertise. You will bring the structure, digital knowledge and attention to detail that turn ambitious ideas into activity, results and useful insight. It is very much a consultative environment rather than a role where you quietly wait for instructions - here you'll be bringing your own ideas, perspective and expertise to the team. It is a broad role with plenty of variety, visibility and influence. You will work with senior stakeholders across the firm, contribute to wider conversations and help shape how the marketing function develops as the business grows. Key Responsibilities - Marketing Manager Owning regular performance reporting across the website, LinkedIn and wider digital activity Using GA4, HubSpot, LinkedIn Analytics and other tools to understand what is working and where improvements can be made Maintaining and improving dashboards, trackers and KPIs Identifying trends and opportunities then turning them into practical recommendations Managing day-to-day CMS updates including news, press coverage, team profiles and supplied content Monitoring website performance, SEO, AI search visibility and user behaviour Implementing agreed website improvements and coordinating technical changes with external suppliers Creating straightforward supporting assets using existing templates and brand guidelines Managing the corporate LinkedIn content calendar, scheduling posts and coordinating internal and agency activity Maintaining marketing calendars, project plans, processes and documentation Improving digital storage and developing more effective processes for creating and managing sales collateral Coordinating agencies, suppliers and internal stakeholders Supporting events with attendee information, branding, logistics and collateral Managing marketing assets and supplying approved materials to external partners Identifying relevant awards and accreditations Coordinating information, evidence and stakeholder input for award submissions Keeping actions, approvals, invoices and deadlines firmly under control About You - Marketing Manager You will be an experienced B2B marketer with particular strengths across digital, analytics and marketing operations. You do not need to be a brand strategist, copywriter, designer and data scientist rolled into one suspiciously overworked person. The business already has strong creative and strategic marketing expertise so what it needs is someone who can bring discipline to delivery, confidence with data and a sharp eye for how activity can be improved. You will be comfortable using GA4, Excel and dashboards to make sense of marketing performance. Experience with LinkedIn analytics, organic social reporting, CMS platforms and SEO will also be important and an understanding of how AI is changing search behaviour would be particularly useful. Strong organisation and project management skills are essential as you will be coordinating agencies, suppliers and senior stakeholders while keeping numerous moving parts heading in roughly the same direction. You will also need excellent written English, the confidence to make minor edits to supplied copy and enough familiarity with Canva or similar tools to adapt existing assets when required. Experience within financial or professional services would be useful but is not essential. Curiosity, sound judgement and the ability to get things done will matter more. This is a full-time, office-based position in central London. The firm has deliberately built an in-office culture where people collaborate closely, understand what is happening across the wider business and make decisions quickly. If you want to join a genuinely lovely team, work alongside a brilliant Marketing Director and have a meaningful say in where the business goes next, this is a rare opportunity to do exactly that.
Sep 30, 2026
Full time
Fully on-site five days a week in central London. This successful financial services firm is growing and looking for a Marketing Manager to join its global team based in London. You will be working with an exceptionally bright, friendly and collaborative group of people in a deliberately non-hierarchical environment. Good ideas are welcomed regardless of who they come from and everyone is encouraged to contribute to the decisions that shape the company's future. Some businesses talk about giving their people a voice; here the culture is built around collaboration in a genuinely refreshing way. For many, the financial services sector conjures up images of either drab, dull offices with drab, dull people wearing drab, dull suits, or excessively and undeservedly over-confident men wearing pin-stripe suits with garish braces talking down to the waiter whilst they drink £500 bottles of wine and surround themselves with mountains of meat their rising blood pressure won't thank them for. Fortunately, neither of these scenarios applies here - this outfit is truly a great place to work and everyone is excellent at what they do and genuinely delightful to be around. You will work closely with an outstanding Marketing Director who brings real strength across brand, creative, content, thought leadership, PR and communications. You will be trusted, supported and given the freedom to make a genuine contribution while working with someone who really knows their stuff. No hovering over your shoulder. No needlessly complicated sign-off process involving seventeen people. Just plenty of opportunity to do excellent work with an excellent team. Successes are celebrated regularly and there are bonuses on top of base salary. The Role - Marketing Manager This is a hands-on marketing role for someone who enjoys making things happen and then digging into the data to see whether they worked. You will take ownership of the operational, digital and analytical side of the marketing function. The Marketing Director leads on the creative and strategic elements so this role will suit someone whose strengths complement that expertise. You will bring the structure, digital knowledge and attention to detail that turn ambitious ideas into activity, results and useful insight. It is very much a consultative environment rather than a role where you quietly wait for instructions - here you'll be bringing your own ideas, perspective and expertise to the team. It is a broad role with plenty of variety, visibility and influence. You will work with senior stakeholders across the firm, contribute to wider conversations and help shape how the marketing function develops as the business grows. Key Responsibilities - Marketing Manager Owning regular performance reporting across the website, LinkedIn and wider digital activity Using GA4, HubSpot, LinkedIn Analytics and other tools to understand what is working and where improvements can be made Maintaining and improving dashboards, trackers and KPIs Identifying trends and opportunities then turning them into practical recommendations Managing day-to-day CMS updates including news, press coverage, team profiles and supplied content Monitoring website performance, SEO, AI search visibility and user behaviour Implementing agreed website improvements and coordinating technical changes with external suppliers Creating straightforward supporting assets using existing templates and brand guidelines Managing the corporate LinkedIn content calendar, scheduling posts and coordinating internal and agency activity Maintaining marketing calendars, project plans, processes and documentation Improving digital storage and developing more effective processes for creating and managing sales collateral Coordinating agencies, suppliers and internal stakeholders Supporting events with attendee information, branding, logistics and collateral Managing marketing assets and supplying approved materials to external partners Identifying relevant awards and accreditations Coordinating information, evidence and stakeholder input for award submissions Keeping actions, approvals, invoices and deadlines firmly under control About You - Marketing Manager You will be an experienced B2B marketer with particular strengths across digital, analytics and marketing operations. You do not need to be a brand strategist, copywriter, designer and data scientist rolled into one suspiciously overworked person. The business already has strong creative and strategic marketing expertise so what it needs is someone who can bring discipline to delivery, confidence with data and a sharp eye for how activity can be improved. You will be comfortable using GA4, Excel and dashboards to make sense of marketing performance. Experience with LinkedIn analytics, organic social reporting, CMS platforms and SEO will also be important and an understanding of how AI is changing search behaviour would be particularly useful. Strong organisation and project management skills are essential as you will be coordinating agencies, suppliers and senior stakeholders while keeping numerous moving parts heading in roughly the same direction. You will also need excellent written English, the confidence to make minor edits to supplied copy and enough familiarity with Canva or similar tools to adapt existing assets when required. Experience within financial or professional services would be useful but is not essential. Curiosity, sound judgement and the ability to get things done will matter more. This is a full-time, office-based position in central London. The firm has deliberately built an in-office culture where people collaborate closely, understand what is happening across the wider business and make decisions quickly. If you want to join a genuinely lovely team, work alongside a brilliant Marketing Director and have a meaningful say in where the business goes next, this is a rare opportunity to do exactly that.
Location: Contracted to our Peterborough office with the flexibility for hybrid working Salary: £29,000 - £34,000 FTE depending on experience Hours: Full time, 37.5 hours per week (part time considered, minimum 30 hours per week with office attendance at least every 2 weeks) Contract: Permanent Benefits: We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. As a senior legacy officer, you will play a key role in delivering our legacy and in-memory programme, helping to amplify this significant area and drive income growth for the charity. The Role Deliver and develop our legacy and in-memory giving programme, helping to grow this significant area of our fundraising income Plan and deliver acquisition and stewardship campaigns for legacy and in-memory supporters across a range of channels Build and maintain strong relationships with supporters, family members and colleagues, handling sensitive and personal conversations with care and professionalism Monitor, analyse and interpret campaign results, using insight to make recommendations for continuous improvement Work closely with colleagues across Individual Giving and the wider organisation to ensure a joined-up approach to legacy and in-memory marketing Ensure all activity is delivered in line with best practice, relevant regulations and Kidney Research UK's values What We're Looking For Proven experience of delivering acquisition and stewardship campaigns across multiple channels within legacy and/or in-memory fundraising Excellent attention to detail, with the ability to interpret data and results to inform decision-making Strong relationship-building skills, both internally and with external supporters and stakeholders Confidence and sensitivity when handling emotive or personal conversations with supporters and their families A collaborative, proactive approach and the ability to manage multiple projects at once A genuine commitment to Kidney Research UK's mission and values About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research we fund has been making an impact. But kidney disease is increasing, as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person - the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. How to Apply Please complete the online application form and submit together with your CV. Closing date: 12th Octoberr 2026. We may extend the closing date, but please apply as soon as possible. Telephone interviews will be held week commencing 5 October 2026. Interviews will be held week commencing 12 October 2026. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. No agencies please. You may have experience in the following: Legacy Officer, Legacy Fundraiser, In Memory Fundraiser, In Memory Giving Officer, Individual Giving Officer, Legacy Marketing Officer, Gifts in Wills Officer, Donor Stewardship Officer, Fundraising Officer, Supporter Relations Officer, Charity Fundraising, Legacy and In Memory Marketing, Not for Profit, NFP, Third Sector, Charities.
Sep 30, 2026
Full time
Location: Contracted to our Peterborough office with the flexibility for hybrid working Salary: £29,000 - £34,000 FTE depending on experience Hours: Full time, 37.5 hours per week (part time considered, minimum 30 hours per week with office attendance at least every 2 weeks) Contract: Permanent Benefits: We want all our employees to feel valued and engaged and are committed to offering a positive working culture along with a good work-life balance. As well as ensuring we pay our employees fairly, we offer the following benefits: Flexible working, Generous annual leave, Private Medical Insurance, including dental and optical, Pension Scheme, Sick Pay, Death in Service, Employee Assistance Programme, Bike Loan Scheme, Cycle2Work Scheme, Eyecare, Discount Portal. Be a part of an energetic and vibrant team who are driven by the desire to improve the lives of people living with kidney disease. Our vision is the day when everyone lives free from kidney disease. As a senior legacy officer, you will play a key role in delivering our legacy and in-memory programme, helping to amplify this significant area and drive income growth for the charity. The Role Deliver and develop our legacy and in-memory giving programme, helping to grow this significant area of our fundraising income Plan and deliver acquisition and stewardship campaigns for legacy and in-memory supporters across a range of channels Build and maintain strong relationships with supporters, family members and colleagues, handling sensitive and personal conversations with care and professionalism Monitor, analyse and interpret campaign results, using insight to make recommendations for continuous improvement Work closely with colleagues across Individual Giving and the wider organisation to ensure a joined-up approach to legacy and in-memory marketing Ensure all activity is delivered in line with best practice, relevant regulations and Kidney Research UK's values What We're Looking For Proven experience of delivering acquisition and stewardship campaigns across multiple channels within legacy and/or in-memory fundraising Excellent attention to detail, with the ability to interpret data and results to inform decision-making Strong relationship-building skills, both internally and with external supporters and stakeholders Confidence and sensitivity when handling emotive or personal conversations with supporters and their families A collaborative, proactive approach and the ability to manage multiple projects at once A genuine commitment to Kidney Research UK's mission and values About Kidney Research UK: Kidney Research UK is the leading charity in the UK focused on funding research into the prevention, treatment and management of kidney disease. Our vision is the day when everyone lives free from kidney disease and for more than 60 years the research we fund has been making an impact. But kidney disease is increasing, as are the factors contributing to it, such as diabetes, cardiovascular disease and obesity, making our work more essential than ever. At Kidney Research UK we work with clinicians and scientists across the UK, funding and facilitating research into all areas of kidney disease. We collaborate with partners across the public, private and third sectors to prevent kidney disease and drive innovation to transform treatments. Over the last ten years we have invested more than £71 million into research. We lobby governments and decision makers to change policy and practice to ensure that the estimated 7.2 million people living with all stages of kidney disease in the UK have access to the most effective care and treatment, and to make kidney disease a priority. Most importantly, we also work closely with patients, ensuring their voice is heard and is at the centre of everything we do, from deciding which research to invest in to how we plan our priorities and our work across the charity. Those patient contributions are vital, always helping us and our partners to understand what life is like with kidney disease, always ensuring we see the patient behind the treatment and always reminding us that behind every statistic and every number is a person - the patients and the carers who inspire our mission and push us forward to make a difference and change the future of kidney disease. How to Apply Please complete the online application form and submit together with your CV. Closing date: 12th Octoberr 2026. We may extend the closing date, but please apply as soon as possible. Telephone interviews will be held week commencing 5 October 2026. Interviews will be held week commencing 12 October 2026. We are committed to providing equal opportunities for everyone and encourage applications from all sections of the community. No agencies please. You may have experience in the following: Legacy Officer, Legacy Fundraiser, In Memory Fundraiser, In Memory Giving Officer, Individual Giving Officer, Legacy Marketing Officer, Gifts in Wills Officer, Donor Stewardship Officer, Fundraising Officer, Supporter Relations Officer, Charity Fundraising, Legacy and In Memory Marketing, Not for Profit, NFP, Third Sector, Charities.
Senior MLOps Engineer London (Hybrid) £75,000 - £85,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems.
Sep 30, 2026
Full time
Senior MLOps Engineer London (Hybrid) £75,000 - £85,000 + Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data and machine learning to improve decision-making and deliver better outcomes. They are investing heavily in their AI platform and expanding their engineering capability. The Role Own and develop the MLOps infrastructure supporting AI services. Build and maintain orchestration pipelines using Dagster, Airflow, or Prefect. Deploy and manage ML workloads on Kubernetes and cloud platforms. Implement CI/CD, observability, and monitoring across production systems. Develop infrastructure using Terraform, Bicep, or similar IaC tools. Work closely with Data Scientists, ML Engineers, and AI teams to scale deployments. Your Skills & Experience Strong Python software engineering skills. Commercial MLOps experience in production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems.
Practice Group / Department: Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world's preeminent corporations and financial institutions. Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Junior Data Scientist will work within R&D alongside the Data Programme to build the foundational data capabilities that make priority firm data usable for R&D products, AI applications and wider firm use. You will help turn data into evidence, insight and stronger reusable data assets. This is an early-career role for someone with strong analytical fundamentals who enjoys exploring unfamiliar data, asking what else might be possible, and communicating useful findings clearly. You will support senior R&D, Data Programme and AI colleagues while taking meaningful ownership of exploratory data analysis, data profiling, analytical prototyping and the measurement of data and AI products. You will join a small, hands-on multidisciplinary team working collaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. Key Responsibilities Profile and explore internal and external datasets that contribute to Data Programme assets, identifying data-quality issues, missingness, outliers, patterns, relationships and potential sources of bias or leakage. Use SQL and Python to prepare and validate analytical datasets in approved Fabric and Databricks workspaces, build reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine-learning models, including classification, regression, clustering, ranking or time-series approaches where appropriate. Assist with text analysis, information extraction, embeddings, similarity analysis and the evaluation of AI-assisted features under the guidance of senior colleagues. Help prepare datasets, test cases and measurement frameworks for AI and data products, including human-review samples, error analysis and adoption metrics. Work with Data Programme engineers and data stewards to understand source data, document assumptions, define useful metrics and improve the quality and usability of data assets. Use Git, notebooks, tests and documentation to make analyses reproducible and ready for peer review rather than leaving work as one-off exploration. Use AI agents and assistants responsibly to speed up data exploration, coding and documentation, while checking every result and maintaining independent analytical judgement. Engage constructively with lawyers and business colleagues, translating questions into practical analysis and explaining conclusions in accessible language. Initial Focus Support the Data Programme in establishing foundational data capabilities through high-quality EDA, data profiling and rapid analytical investigations in agreed Fabric and Databricks workspaces. Build confidence in data quality, metadata, metrics, baselines and user-focused measurement for priority data and AI products. Surface informed ideas for what more can be done with available data, then help test those ideas with evidence. What Success Looks Like The Data Programme and R&D teams have a clearer, evidence-based view of their data before investing in models or product features. Exploratory work produces useful insights, credible hypotheses and well-documented next steps, not only charts or descriptive statistics. The data scientist develops into a reliable contributor to model development, product evaluation and scalable analytical practice. Essential Skills and Experience
Sep 30, 2026
Full time
Practice Group / Department: Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United States, Europe, Canada, Latin America, Asia, Australia, Africa and the Middle East. We provide a full scope of legal services to the world's preeminent corporations and financial institutions. Our vision is to be a world class business, profitable, ambitious, cooperative and considerate, supporting our clients and people through our global business principles of Quality, Unity and Integrity. With over 7,000 employees worldwide, our culture is the thread that connects us. Our strategy and culture are closed connected - defined by shared ambition, global collaboration and a one-team mindset. We believe pioneering work happens when people are empowered to think beyond boundaries, explore new opportunities and grow through diverse experiences. Alongside the right skills and experience, we are looking for people who are innovative, commercially minded, and motivated by the impact of the work they do - ready to share in our ambition and help shape what comes next. Because while individuals can do well, together we achieve something extraordinary. Role Purpose We are building a new R&D capability focused on developing data-driven and AI-enabled products for legal services and the wider business of law. The Junior Data Scientist will work within R&D alongside the Data Programme to build the foundational data capabilities that make priority firm data usable for R&D products, AI applications and wider firm use. You will help turn data into evidence, insight and stronger reusable data assets. This is an early-career role for someone with strong analytical fundamentals who enjoys exploring unfamiliar data, asking what else might be possible, and communicating useful findings clearly. You will support senior R&D, Data Programme and AI colleagues while taking meaningful ownership of exploratory data analysis, data profiling, analytical prototyping and the measurement of data and AI products. You will join a small, hands-on multidisciplinary team working collaboratively across discovery, prototyping, engineering, productionisation and continuous improvement. Key Responsibilities Profile and explore internal and external datasets that contribute to Data Programme assets, identifying data-quality issues, missingness, outliers, patterns, relationships and potential sources of bias or leakage. Use SQL and Python to prepare and validate analytical datasets in approved Fabric and Databricks workspaces, build reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine-learning models, including classification, regression, clustering, ranking or time-series approaches where appropriate. Assist with text analysis, information extraction, embeddings, similarity analysis and the evaluation of AI-assisted features under the guidance of senior colleagues. Help prepare datasets, test cases and measurement frameworks for AI and data products, including human-review samples, error analysis and adoption metrics. Work with Data Programme engineers and data stewards to understand source data, document assumptions, define useful metrics and improve the quality and usability of data assets. Use Git, notebooks, tests and documentation to make analyses reproducible and ready for peer review rather than leaving work as one-off exploration. Use AI agents and assistants responsibly to speed up data exploration, coding and documentation, while checking every result and maintaining independent analytical judgement. Engage constructively with lawyers and business colleagues, translating questions into practical analysis and explaining conclusions in accessible language. Initial Focus Support the Data Programme in establishing foundational data capabilities through high-quality EDA, data profiling and rapid analytical investigations in agreed Fabric and Databricks workspaces. Build confidence in data quality, metadata, metrics, baselines and user-focused measurement for priority data and AI products. Surface informed ideas for what more can be done with available data, then help test those ideas with evidence. What Success Looks Like The Data Programme and R&D teams have a clearer, evidence-based view of their data before investing in models or product features. Exploratory work produces useful insights, credible hypotheses and well-documented next steps, not only charts or descriptive statistics. The data scientist develops into a reliable contributor to model development, product evaluation and scalable analytical practice. Essential Skills and Experience
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
Sep 30, 2026
Full time
As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development
Please note visa sponsorship is not currently available for this position. We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore. Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams across the organisation. We are seeking a proactive, outcomes-oriented individual, ready to take on broad ownership of a range of initiatives, to join our growing Global Targeting team. Working to enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation to realise its overall strategy. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively, sharing knowledge, tools, and best practice, to ensure a landscape in which team members can develop their full potential and deliver maximum positive business impact. What you will be doing: Leading the end-to-end development of data science and machine learning solutions - from business concept through to impact evaluation - to enable a better user experience through data-driven Targeting Working closely with cross-functional stakeholders to shape how Data Science and the broader Targeting initiative can effectively support business needs to drive maximum impact Helping to set the quality bar for what we put into production: scrutinising data, features and model behaviour, and surfacing problems in our data and processes before they reach our users Identifying and implementing improvements and optimisations in our model development and management processes, driving more efficient and standardised ways of working, leading by example in what you deliver Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business Skills We'd Love You To Have A self-starter mindset: curious, collaborative, and committed to continuous learning - including the adoption of new tools as they emerge A desire to deeply understand a problem and its importance to the business before attempting to solve it, and being comfortable proactively seeking that context rather than waiting for it A strong ability to think critically about, and reason concisely with, data. A drive to understand our users, products, and how users interact with them, and to build an advanced knowledge of our data assets and how these connect to our users' financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models get deployed and maintained effectively in a production environment Demonstrable experience of using business-domain knowledge to drive model development or derive insights from data The ability to explain the key findings from complex analysis and modelling exercises to both technical and non-technical audiences. You feel at home interacting with stakeholders from across different specialisms around the organisation We'd especially love to hear from you if you have Experience using AI tools as part of your everyday workflow, with the judgement to know what to trust, what to verify, and when the output isn't good enough. We're increasingly adopting AI tools as part of our development cycle, so an interest and knowledge of harnessing these effectively would be highly valued Experience developing or working on real-time / near real-time inference solutions and the infrastructure to support them Experience working with and deploying solutions into Databricks Experience working in a product-focussed environment, partnering closely with cross-functional teams to build and iterate quickly A good understanding of consumer lending and the key drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models A postgraduate degree or equivalent qualification in a STEM field Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. Benefits: 25 paid holidays and a "duvet day" on your birthday Hybrid Work Environment Private health and dental cover - including mental health support through Bupa GP office visits Life assurance scheme Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan Equal Opportunities ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model Levels 1-5: Minimum 2 days per week in-office Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/ mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at
Sep 30, 2026
Full time
Please note visa sponsorship is not currently available for this position. We are looking for a Senior Full Stack Data Scientist to join our Data & Analytics team at ClearScore. Data Scientists play a key role in our business, driving strategy and decision-making at all levels, which ultimately benefits our users, partners, and other teams across the organisation. We are seeking a proactive, outcomes-oriented individual, ready to take on broad ownership of a range of initiatives, to join our growing Global Targeting team. Working to enhance the ClearScore user experience through improved dynamic content targeting and prioritisation, you will take end-to-end ownership of data science and machine learning solutions across a variety of use cases, business areas, and markets. Your contributions will directly support the Global Targeting mission, enabling the organisation to realise its overall strategy. ClearScore is both a free credit score and report service and the UK's leading consumer credit marketplace. ClearScore has an amazing analytical community which includes Data Analysts, Scientists and Engineers. The community works collaboratively, sharing knowledge, tools, and best practice, to ensure a landscape in which team members can develop their full potential and deliver maximum positive business impact. What you will be doing: Leading the end-to-end development of data science and machine learning solutions - from business concept through to impact evaluation - to enable a better user experience through data-driven Targeting Working closely with cross-functional stakeholders to shape how Data Science and the broader Targeting initiative can effectively support business needs to drive maximum impact Helping to set the quality bar for what we put into production: scrutinising data, features and model behaviour, and surfacing problems in our data and processes before they reach our users Identifying and implementing improvements and optimisations in our model development and management processes, driving more efficient and standardised ways of working, leading by example in what you deliver Driving the strategic utilisation of model outputs for decision making, working with the Global Targeting squad to use model outputs to change what users see Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business Skills We'd Love You To Have A self-starter mindset: curious, collaborative, and committed to continuous learning - including the adoption of new tools as they emerge A desire to deeply understand a problem and its importance to the business before attempting to solve it, and being comfortable proactively seeking that context rather than waiting for it A strong ability to think critically about, and reason concisely with, data. A drive to understand our users, products, and how users interact with them, and to build an advanced knowledge of our data assets and how these connect to our users' financial wellbeing through the product experience Advanced Python and SQL skills, and a strong understanding of dbt and Analytics Engineering for feature engineering. In-depth knowledge of varied statistical and machine learning techniques. You're capable across the full model lifecycle, including how models get deployed and maintained effectively in a production environment Demonstrable experience of using business-domain knowledge to drive model development or derive insights from data The ability to explain the key findings from complex analysis and modelling exercises to both technical and non-technical audiences. You feel at home interacting with stakeholders from across different specialisms around the organisation We'd especially love to hear from you if you have Experience using AI tools as part of your everyday workflow, with the judgement to know what to trust, what to verify, and when the output isn't good enough. We're increasingly adopting AI tools as part of our development cycle, so an interest and knowledge of harnessing these effectively would be highly valued Experience developing or working on real-time / near real-time inference solutions and the infrastructure to support them Experience working with and deploying solutions into Databricks Experience working in a product-focussed environment, partnering closely with cross-functional teams to build and iterate quickly A good understanding of consumer lending and the key drivers of credit and affordability strategies, as well as familiarity with credit bureau data and its effective utilisation for building predictive ML models A postgraduate degree or equivalent qualification in a STEM field Why ClearScore? ClearScore is the UK's credit score and report app. We are also present in South Africa, Australia and Canada, with more than 20 million users globally and growing fast. Someone joins ClearScore every 20 seconds. We have established relationships with over 50 of the main lenders in the U.K., and have been a trusted tool for customers to manage their credit and make better financial decisions. Since October 2016 we have helped 1.8 million users take out a new credit card or loan. We are user-centric at our core and we believe in leveraging technology to enable positive financial choices. We are design-led and data-driven and we embed these behaviours in everything we do. Our company culture is a fundamental part of all we have achieved. We believe in hiring smart, driven, passionate and diverse people who are keen on having a real impact in our organisation. We trust you to manage your own time so we offer flexible work and no fixed desk hours. We don't micromanage and we believe in measuring outcomes rather than effort. We have an inclusive culture where all, regardless of seniority, are encouraged to contribute with their ideas, look after their wellbeing and actively seek opportunities for career growth. Benefits: 25 paid holidays and a "duvet day" on your birthday Hybrid Work Environment Private health and dental cover - including mental health support through Bupa GP office visits Life assurance scheme Up to 6% matched pension Regular Lunch and Learns with guest speakers Dog-friendly office Daily breakfast and free snacks Access to discounts via Cobens Extras Free sports and social clubs Continued investment into learning and development Leadership-led training In-house psychotherapist Financial coach to help you plan and achieve your goals No clock-watching culture Generous maternity and paternity plans Culture and inclusion representatives Transparent pay structure and a career growth plan Equal Opportunities ClearScore is committed to providing equal employment opportunities to all qualified individuals. As an equal opportunity employer, we are able to make reasonable adjustments to accommodate individuals with disabilities during the recruitment and selection process. If you require accommodation, please inform us in advance, and we will work with you to meet your needs. Our Hybrid Model Levels 1-5: Minimum 2 days per week in-office Level 6 and above: Minimum 3 days per week in-office We believe this structure offers the best of both worlds - the flexibility of remote work and the synergy of face-to-face collaboration. Our office days are carefully coordinated to maximise team interactions and learning/ mentorship opportunities. What This Means for You: Flexibility to manage your work and life Dedicated in-office days for team building and collaborative projects Office facilities (with plants!) designed for productive interactions Clear expectations and support for maintaining our hybrid schedule We're committed to creating an inclusive environment that accommodates diverse needs while maintaining our collaborative culture. Join us in shaping the future of work! Note: While we offer flexibility, commitment to our hybrid schedule is an important aspect of our team culture and performance expectations. Inclusion Policy We are always looking for talented individuals to join ClearScore. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for our people. Please see our People Policy Notice at
Founded in 1834, the Royal Statistical Society (RSS) is one of the world's leading organisations advocating for the importance of statistics and data. We're a professional body for all statisticians and data scientists - wherever they may live. We have more than 12,000 individual members in the UK and across the world. As a charity, we advocate for the key role of statistics and data in society, and work to ensure that policy formulation and decision making are informed by evidence for the public good. The membership of the Royal Statistical Society (RSS) constitutes a preeminent source of statistical expertise. Members work with RSS staff to support our work across areas such as policy development, education, training, statistical communication, and statistical literacy. Job purpose The Head of Policy and Advocacy leads a small team of staff who convene RSS members and support them to develop, formalise and communicate the RSS's views on major challenges and policy issues. The team also seeks funding for, and conducts, researchtoidentifyand promoterelevant changes to the statistical systemor government policy. Key responsibilities Leading the RSS's policy work, engaging with RSS membership to extract expert views and develop policy positions: Maintaining awareness of political environment and relevant external developments (including announcements, inquiries, consultations and debates) Overseeing media monitoring to identify where the Society's input could add greatest value and potentially bring about the most positive and meaningful reforms Running, and engaging members in, formal horizon scanning processes Managing advisory groups and task forces - providing strategic advice to chairs and overseeing secretariat Leading the team to produce (and writing or editing / coordinating) policy documents and associated materials - consultation responses, position papers, statements, letters and articles. Leading RSS policy and advocacy campaigns: Defining and prioritising campaigns in line with RSS strategy, for approval by relevant groups Developing campaign objectives and planning associated activities in partnership with relevant colleagues across the RSS Establishing and overseeing time-limited groups to achieve policy or campaigns objectives Delivering, and overseeing the delivery of, campaign activities including roundtables, events and development of policy outputs Working with the CEO, developing and reviewing external affairs and engagement strategies Leading RSS advocacy activities - facilitating relationships and implementing and monitoring engagement strategies across the UK Statistics Authority and wider statistical system, the civil service, Parliamentary committees, the research and education communities, potential funders and other relevant organisations Advising and briefing the CEO to inform meetings with senior stakeholders. Developing the RSS's research pipeline and portfolio of projects: Building and maintaining relationships with funders, and collaborating with them to develop ideas for future projects Developing and maintaining a pipeline of possible fundable research projects, extracting ideas from members and wider stakeholders / partners Working with the policy researcher and manager, and head of partnerships, to develop proposals for prioritised new research on a frequency that ensures funding for the team is sustained Overseeing the delivery of research to time and quality, and driving impact of the work through associated activities. Overseeing the communications, media and press work of the Society relating to policy and advocacy: Overseeing the work of the press and communications officer Commissioning policy-related content from the content team Managing relationships with journalists regarding RSS policy Disseminating and socialising RSS policy and research recommendations to generate impact Representing the RSS externally as required, including contributing to and attending the Society's main external-facing events Ensuring website and other materials are up to date Providing news of relevant policy developments and accomplishments to RSS members, appropriate colleagues and wider stakeholders, to ensure that our policy achievements are understood both by RSS members and the broader public. General leadership and management of the policy and advocacy function: Drafting strategy implementation plans and ensuring activity is aligned with organisational strategic priorities Writing reports and making presentations to SMT and Trustees on areas of responsibility Maintaining a tracker to support understanding of the impact of our work, what works, and any learning for future work Monitoring and reporting on progress and performance against targets or key performance indicators to evaluate impact and inform future planning Effectively line managing staff, overseeing performance management to ensure high standards and continuous improvement Project managing initiatives to time and quality, and overseeing wider project delivery within area of work Working across the organisation and programmes to develop our understanding of the needs of our members and partners and embed our policy work where relevant Acting as a specialist advisor to the Society's Vice Presidents, Officers and other Trustees Drafting and monitoring team budgets to ensure activities are delivered to budget; other financial management responsibilities including authorisation of expenditure Managing contracts and agreements with specific providers or partners Working collaboratively to identify and pursue sponsorship and funding opportunities Contributing to the annual RSS conference including delivery of RSS stand and presentations on policy and advocacy Overseeing the monitoring of shared inboxes and ensuring messages are dealt with as appropriate in line with customer service standards Overseeing, developing andmaintainingstandard operating procedures for all areas of work Leading continuous improvement of the policy and advocacy function Undertaking such other duties as may reasonably be required, consistent with the level and purpose of the role. Person specification Qualifications & Professional Background Degree or equivalent experience: Essential Significant experience leading policy development within a membership organisation, NGO, professional body, think tank, regulator, or government department: Essential Demonstrable experience managing policy campaigns, influencing decision makers, and shaping public debate: Essential Proven track record of producing high quality policy outputs (consultation responses, position papers, statements, briefings): Essential Degree or postgraduate qualification in a numerate / mathematical discipline: Desirable Knowledge of the UK statistical system, data governance, or evidence based policymaking: Desirable Experience working with or within the civil service, Parliament, or regulatory bodies: Desirable Knowledge and Expertise Strong understanding of UK political processes, legislative cycles, and public policy development: Essential Ability to interpret complex technical or research material and translate it into clear, compelling policy positions: Essential Knowledge of effective advocacy strategies, stakeholder engagement, and influencing techniques: Essential Understanding of research commissioning, project management, and impact evaluation: Essential Familiarity with issues relating to statistics, data ethics, AI governance, or research funding landscapes: Desirable Understanding of membership engagement and professional standards bodies: Desirable Skills and competencies Exceptional written communication skills, with the ability to craft persuasive policy documents, briefings, and public facing materials: Essential Strong verbal communication and presentation skills, including representing an organisation externally at senior levels: Essential Ability to lead horizon scanning, identify emerging issues, and develop strategic responses: Essential Excellent stakeholder management skills, with experience building relationships across government, academia, civil society, and funders: Essential Strong analytical skills and sound political judgement: Essential Ability to manage multiple complex projects simultaneously, ensuring delivery to time and quality: Essential Competence in budget management, financial oversight, and contract management: Essential Ability to lead and motivate a team, supporting professional development and high performance: Essential Media handling experience, including working with journalists or providing expert comment: Desirable . click apply for full job details
Sep 30, 2026
Full time
Founded in 1834, the Royal Statistical Society (RSS) is one of the world's leading organisations advocating for the importance of statistics and data. We're a professional body for all statisticians and data scientists - wherever they may live. We have more than 12,000 individual members in the UK and across the world. As a charity, we advocate for the key role of statistics and data in society, and work to ensure that policy formulation and decision making are informed by evidence for the public good. The membership of the Royal Statistical Society (RSS) constitutes a preeminent source of statistical expertise. Members work with RSS staff to support our work across areas such as policy development, education, training, statistical communication, and statistical literacy. Job purpose The Head of Policy and Advocacy leads a small team of staff who convene RSS members and support them to develop, formalise and communicate the RSS's views on major challenges and policy issues. The team also seeks funding for, and conducts, researchtoidentifyand promoterelevant changes to the statistical systemor government policy. Key responsibilities Leading the RSS's policy work, engaging with RSS membership to extract expert views and develop policy positions: Maintaining awareness of political environment and relevant external developments (including announcements, inquiries, consultations and debates) Overseeing media monitoring to identify where the Society's input could add greatest value and potentially bring about the most positive and meaningful reforms Running, and engaging members in, formal horizon scanning processes Managing advisory groups and task forces - providing strategic advice to chairs and overseeing secretariat Leading the team to produce (and writing or editing / coordinating) policy documents and associated materials - consultation responses, position papers, statements, letters and articles. Leading RSS policy and advocacy campaigns: Defining and prioritising campaigns in line with RSS strategy, for approval by relevant groups Developing campaign objectives and planning associated activities in partnership with relevant colleagues across the RSS Establishing and overseeing time-limited groups to achieve policy or campaigns objectives Delivering, and overseeing the delivery of, campaign activities including roundtables, events and development of policy outputs Working with the CEO, developing and reviewing external affairs and engagement strategies Leading RSS advocacy activities - facilitating relationships and implementing and monitoring engagement strategies across the UK Statistics Authority and wider statistical system, the civil service, Parliamentary committees, the research and education communities, potential funders and other relevant organisations Advising and briefing the CEO to inform meetings with senior stakeholders. Developing the RSS's research pipeline and portfolio of projects: Building and maintaining relationships with funders, and collaborating with them to develop ideas for future projects Developing and maintaining a pipeline of possible fundable research projects, extracting ideas from members and wider stakeholders / partners Working with the policy researcher and manager, and head of partnerships, to develop proposals for prioritised new research on a frequency that ensures funding for the team is sustained Overseeing the delivery of research to time and quality, and driving impact of the work through associated activities. Overseeing the communications, media and press work of the Society relating to policy and advocacy: Overseeing the work of the press and communications officer Commissioning policy-related content from the content team Managing relationships with journalists regarding RSS policy Disseminating and socialising RSS policy and research recommendations to generate impact Representing the RSS externally as required, including contributing to and attending the Society's main external-facing events Ensuring website and other materials are up to date Providing news of relevant policy developments and accomplishments to RSS members, appropriate colleagues and wider stakeholders, to ensure that our policy achievements are understood both by RSS members and the broader public. General leadership and management of the policy and advocacy function: Drafting strategy implementation plans and ensuring activity is aligned with organisational strategic priorities Writing reports and making presentations to SMT and Trustees on areas of responsibility Maintaining a tracker to support understanding of the impact of our work, what works, and any learning for future work Monitoring and reporting on progress and performance against targets or key performance indicators to evaluate impact and inform future planning Effectively line managing staff, overseeing performance management to ensure high standards and continuous improvement Project managing initiatives to time and quality, and overseeing wider project delivery within area of work Working across the organisation and programmes to develop our understanding of the needs of our members and partners and embed our policy work where relevant Acting as a specialist advisor to the Society's Vice Presidents, Officers and other Trustees Drafting and monitoring team budgets to ensure activities are delivered to budget; other financial management responsibilities including authorisation of expenditure Managing contracts and agreements with specific providers or partners Working collaboratively to identify and pursue sponsorship and funding opportunities Contributing to the annual RSS conference including delivery of RSS stand and presentations on policy and advocacy Overseeing the monitoring of shared inboxes and ensuring messages are dealt with as appropriate in line with customer service standards Overseeing, developing andmaintainingstandard operating procedures for all areas of work Leading continuous improvement of the policy and advocacy function Undertaking such other duties as may reasonably be required, consistent with the level and purpose of the role. Person specification Qualifications & Professional Background Degree or equivalent experience: Essential Significant experience leading policy development within a membership organisation, NGO, professional body, think tank, regulator, or government department: Essential Demonstrable experience managing policy campaigns, influencing decision makers, and shaping public debate: Essential Proven track record of producing high quality policy outputs (consultation responses, position papers, statements, briefings): Essential Degree or postgraduate qualification in a numerate / mathematical discipline: Desirable Knowledge of the UK statistical system, data governance, or evidence based policymaking: Desirable Experience working with or within the civil service, Parliament, or regulatory bodies: Desirable Knowledge and Expertise Strong understanding of UK political processes, legislative cycles, and public policy development: Essential Ability to interpret complex technical or research material and translate it into clear, compelling policy positions: Essential Knowledge of effective advocacy strategies, stakeholder engagement, and influencing techniques: Essential Understanding of research commissioning, project management, and impact evaluation: Essential Familiarity with issues relating to statistics, data ethics, AI governance, or research funding landscapes: Desirable Understanding of membership engagement and professional standards bodies: Desirable Skills and competencies Exceptional written communication skills, with the ability to craft persuasive policy documents, briefings, and public facing materials: Essential Strong verbal communication and presentation skills, including representing an organisation externally at senior levels: Essential Ability to lead horizon scanning, identify emerging issues, and develop strategic responses: Essential Excellent stakeholder management skills, with experience building relationships across government, academia, civil society, and funders: Essential Strong analytical skills and sound political judgement: Essential Ability to manage multiple complex projects simultaneously, ensuring delivery to time and quality: Essential Competence in budget management, financial oversight, and contract management: Essential Ability to lead and motivate a team, supporting professional development and high performance: Essential Media handling experience, including working with journalists or providing expert comment: Desirable . click apply for full job details
Faculty is seeking a Lead Data Scientist for its Life Science team to drive technical direction and deliver high-impact, production-ready ML solutions. You will shape project roadmaps, manage technical risk, and mentor cross-functional teams to ensure scalable outcomes. This role focuses on complex, business-critical initiatives with direct influence on customer engagements and long-term strategic relationships across pharma and research partners.
Sep 30, 2026
Full time
Faculty is seeking a Lead Data Scientist for its Life Science team to drive technical direction and deliver high-impact, production-ready ML solutions. You will shape project roadmaps, manage technical risk, and mentor cross-functional teams to ensure scalable outcomes. This role focuses on complex, business-critical initiatives with direct influence on customer engagements and long-term strategic relationships across pharma and research partners.
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role We partner with leading pharmaceutical and biotech companies, as well as hospitals and research institutions, to unlock the value of clinical data and deliver AI-driven insights in clinical trials. We are currently scaling our data partnerships and platform capabilities to support a growing portfolio of AI models and commercial programmes. We are looking for a Project Manager to lead the management of commercial data partnerships. This role sits at the intersection of: Partnerships (hospitals, universities, biopharma) Data sourcing and acquisition Legal and governance Technical project delivery You will manage complex, high-value projects with external stakeholders. This will range from highly structured, contractually defined biopharma companies to smaller, often less well-defined data collaborations with universities and research groups. Across both, you will bring the right people into the room, set and hold the team to clear timelines, and ensure deliverables are agreed and understood on both sides. You will also play a key role in ensuring that Qureight has access to high-quality, well-structured data to train, validate, and deploy our AI models. This is a high-impact, cross-functional role requiring strong relationship management, commercial acumen, operational rigour, and comfort working across technical domains. What you will do Project manage commercial data partnerships (end-to-end) Own delivery of data partnerships from initial engagement and contracting to data transfer, ingestion and ongoing management / delivery Coordinate across external partners and internal data science, data engineering, legal, commercial and product teams Work with legal and commercial teams to ensure Qureight puts appropriate data sharing and licensing agreements in place Ensure delivery of data assets and statistical outputs aligned with: Commercial agreements Project timelines Track timelines, dependencies, and risks Enable data ingestion and readiness Work closely with technical teams to: Take guidance on what represents 'good data' Ensure data is delivered in usable formats Resolve data quality and completeness issues Support data standardisation and annotation workflows Act as the bridge between: External data providers Internal data/ML teams Support data sourcing and acquisition Support the CSO and other senior leaders to identify and secure access to datasets from: Hospitals and healthcare providers Universities and research institutions Commercial data partners Build and manage relationships with key stakeholders, including: Clinicians Researchers Technology transfer offices (TTOs) Build scalable commercial partnership processes Develop repeatable processes for: Contracting Partner onboarding Data ingestion Project delivery Help scale Qureight's data partnerships function as the company grows Proven project management experience overseeing complex, data-rich projects Proven experience supporting the delivery of commercial data projects with external partners, including pharma/biotech, hospitals / healthcare providers and universities / research organisations Strong track record of building and maintaining relationships with external commercial partners and cross-functional internal stakeholders Comfortable collaborating with legal teams and working with data sharing and licensing agreements Experience in sourcing, negotiating, or managing access to datasets Understanding of data ingestion workflows and data formats and quality challenges Ability to work effectively and cross-functionally with data science, data engineering, legal, commercial and product teams Familiarity with GxP / regulated software environments Even better if you have experience of Healthcare, biotech, medtech, or techbio environments Experience in high-growth startups or scaleups Familiarity with: Technology transfer offices (TTOs) Research collaboration agreements Exposure to: Clinical trials AI / machine learning workflows Medical imaging, biomarkers, or real-world data Experience supporting: Customer deployments Enterprise / pharma partnerships A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
Sep 30, 2026
Full time
Qureight's mission is to accelerate clinical trials and ensure breakthroughs in lung and heart disease reach patients without delay. Our AI-powered data and imaging curation platform enables the analysis of clinical imaging and other healthcare data, helping our customers bring treatments to market, faster. We're looking for talented people who want their work to matter. With offices in Cambridge and London, you'll join our multidisciplinary team of clinicians, scientists, and engineers. What unites us is our open culture, continuous learning mindset, and a shared mission to help biopharma run faster, smarter trials. About the role We partner with leading pharmaceutical and biotech companies, as well as hospitals and research institutions, to unlock the value of clinical data and deliver AI-driven insights in clinical trials. We are currently scaling our data partnerships and platform capabilities to support a growing portfolio of AI models and commercial programmes. We are looking for a Project Manager to lead the management of commercial data partnerships. This role sits at the intersection of: Partnerships (hospitals, universities, biopharma) Data sourcing and acquisition Legal and governance Technical project delivery You will manage complex, high-value projects with external stakeholders. This will range from highly structured, contractually defined biopharma companies to smaller, often less well-defined data collaborations with universities and research groups. Across both, you will bring the right people into the room, set and hold the team to clear timelines, and ensure deliverables are agreed and understood on both sides. You will also play a key role in ensuring that Qureight has access to high-quality, well-structured data to train, validate, and deploy our AI models. This is a high-impact, cross-functional role requiring strong relationship management, commercial acumen, operational rigour, and comfort working across technical domains. What you will do Project manage commercial data partnerships (end-to-end) Own delivery of data partnerships from initial engagement and contracting to data transfer, ingestion and ongoing management / delivery Coordinate across external partners and internal data science, data engineering, legal, commercial and product teams Work with legal and commercial teams to ensure Qureight puts appropriate data sharing and licensing agreements in place Ensure delivery of data assets and statistical outputs aligned with: Commercial agreements Project timelines Track timelines, dependencies, and risks Enable data ingestion and readiness Work closely with technical teams to: Take guidance on what represents 'good data' Ensure data is delivered in usable formats Resolve data quality and completeness issues Support data standardisation and annotation workflows Act as the bridge between: External data providers Internal data/ML teams Support data sourcing and acquisition Support the CSO and other senior leaders to identify and secure access to datasets from: Hospitals and healthcare providers Universities and research institutions Commercial data partners Build and manage relationships with key stakeholders, including: Clinicians Researchers Technology transfer offices (TTOs) Build scalable commercial partnership processes Develop repeatable processes for: Contracting Partner onboarding Data ingestion Project delivery Help scale Qureight's data partnerships function as the company grows Proven project management experience overseeing complex, data-rich projects Proven experience supporting the delivery of commercial data projects with external partners, including pharma/biotech, hospitals / healthcare providers and universities / research organisations Strong track record of building and maintaining relationships with external commercial partners and cross-functional internal stakeholders Comfortable collaborating with legal teams and working with data sharing and licensing agreements Experience in sourcing, negotiating, or managing access to datasets Understanding of data ingestion workflows and data formats and quality challenges Ability to work effectively and cross-functionally with data science, data engineering, legal, commercial and product teams Familiarity with GxP / regulated software environments Even better if you have experience of Healthcare, biotech, medtech, or techbio environments Experience in high-growth startups or scaleups Familiarity with: Technology transfer offices (TTOs) Research collaboration agreements Exposure to: Clinical trials AI / machine learning workflows Medical imaging, biomarkers, or real-world data Experience supporting: Customer deployments Enterprise / pharma partnerships A comprehensive benefits package that includesan annual bonus plan,private medical insurance, life insurance, and acontributory pension scheme 25 days annual leave,plus bank holidays and enhanced maternity leave A diverse work environment that brings together experts in many fields, including software engineering, DevOps, data science, machine learning, quality assurance, regulatory affairs, and clinical operations. If you have any queries, please contact . Everyone is welcome at Qureight. We are an equal opportunities employer and encourage applications from all suitably qualified candidates regardless of age, disability, ethnicity, sex, gender reassignment, religion or belief, sexual orientation, marriage and civil partnership, or pregnancy and maternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don't meet every qualification. We'd love to hear from you. If you require any adjustments to the application or selection process, please let us know. We will be happy to support you.
ClearScore, the UK's leading credit score and report app, seeks a Senior Full Stack Data Scientist to own data science and ML across the Global Targeting initiative. You will collaborate with product and analytics teams to influence user experiences and business decisions, driving real-time insights and production-ready solutions. The role emphasises a strong python/sql foundation, production ML, Databricks, and a postgraduate STEM degree, with a hybrid working setup and rich development
Sep 30, 2026
Full time
ClearScore, the UK's leading credit score and report app, seeks a Senior Full Stack Data Scientist to own data science and ML across the Global Targeting initiative. You will collaborate with product and analytics teams to influence user experiences and business decisions, driving real-time insights and production-ready solutions. The role emphasises a strong python/sql foundation, production ML, Databricks, and a postgraduate STEM degree, with a hybrid working setup and rich development
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: The Elastic Security Endpoint Protections team researches, designs, and builds the visibility and prevention capabilities at the core of Elastic Defend, our endpoint and SIEM security solution. We are looking for a Senior Security Research Engineer to help lead our efforts to build innovative features that secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, a diverse group of skilled researchers, data scientists, and engineers who bring deep domain knowledge in their respective areas. Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship. What You Will Be Doing: Research emerging attacker techniques and turn them into shipped protections. Study real-world tradecraft across in-memory threats, injection, credential theft, ransomware, and kernel tampering, then design protections that hold up against an adversary actively trying to defeat them. Build and extend endpoint visibility. Instrument new event sources across Windows, macOS, and Linux, deepen the telemetry we already collect, and close the gaps attackers rely on. Every source you add becomes a foundation for other teams. Develop production code that runs everywhere. Write performant, stable C/C++ that executes on millions of endpoints, where a memory leak or a few milliseconds of overhead is a customer-visible problem. Reverse engineer malware and study evasion. Learn how attackers bypass endpoint security controls in the wild, and feed that understanding directly into the protections you design and harden. Own efficacy end to end. Review customer telemetry at fleet scale, investigate false positives and performance regressions, and establish mitigation strategies. Shipping the feature is the beginning of the job, not the end. Extend protection parity across platforms. Bring the depth we have on Windows to macOS and Linux, and support new hardware architectures as they reach the enterprise. Collaborate across Elastic Security. Implement endpoint code alongside peers in multiple countries and time zones, and work with the detection engineers, malware researchers, and data scientists who rely on your telemetry. Help lead the team's technical direction. Take point on initiatives that span multiple releases, raise the bar in design and code reviews, and mentor engineers earlier in their careers. Publish and present. Share your research on Elastic Security Labs, present at conferences, and contribute to the open source projects that organizations around the world rely on. What You Bring: 6+ years of professional experience analyzing attacker tactics, techniques, and procedures (TTPs) and building detection methods for real security threats. 6+ years of development experience in C, C++, and Python, with the judgment to write code that is safe, fast, and maintainable in a security-critical codebase. Deep operating system internals knowledge, in both kernel and user mode, deep enough to reason about undocumented behavior and find security-relevant structures nobody has written about yet. Windows depth is what we need most, with macOS or Linux depth close behind. In-depth reverse engineering and malware analysis experience, and comfort with the tooling that makes hard binaries readable. An adversarial instinct. You anticipate how a protection will be evaded before it ships, and design for resilience rather than for the proof of concept in front of you. A collaborative mentality and an eagerness to learn new skills, new platforms, and emerging technologies. You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Passion for protecting the world's data from attack! Bonus Points: Vulnerability research and exploit development, particularly with a track record of responsible disclosure to platform vendors. Red teaming experience, or a background in building offensive tooling and defeating endpoint security products. Kernel-mode development, including driver development and debugging. Ownership or long-term maintenance of an open-source security tool with a real user base. Conference speaking experience (e.g., Black Hat, DEF CON, CODE BLUE, Virus Bulletin) or an established publication record. Experience applying machine learning to endpoint security problems. Familiarity with the Elastic Stack (Elasticsearch, Kibana) and Elastic Security. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave Security & Privacy Responsibilities: Take ownership of protecting the confidentiality, integrity, and availability of organizational data and systems by following applicable privacy and security policies, standards, and procedures. Ensure that all individual contributions follow Elastic's Secure Software Development Framework (SSDF). Proactively participate in mandatory role-based training to ensure personal technical execution consistently aligns with the highest standards of data protection, data privacy, and system resilience. Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including . click apply for full job details
Sep 30, 2026
Full time
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role: The Elastic Security Endpoint Protections team researches, designs, and builds the visibility and prevention capabilities at the core of Elastic Defend, our endpoint and SIEM security solution. We are looking for a Senior Security Research Engineer to help lead our efforts to build innovative features that secure our users against the latest emerging threats. You will collaborate with the broader Elastic Security team, a diverse group of skilled researchers, data scientists, and engineers who bring deep domain knowledge in their respective areas. Our geographically dispersed team values positivity and inclusivity in the workplace, clear communication, collaborative learning, and guided mentorship. What You Will Be Doing: Research emerging attacker techniques and turn them into shipped protections. Study real-world tradecraft across in-memory threats, injection, credential theft, ransomware, and kernel tampering, then design protections that hold up against an adversary actively trying to defeat them. Build and extend endpoint visibility. Instrument new event sources across Windows, macOS, and Linux, deepen the telemetry we already collect, and close the gaps attackers rely on. Every source you add becomes a foundation for other teams. Develop production code that runs everywhere. Write performant, stable C/C++ that executes on millions of endpoints, where a memory leak or a few milliseconds of overhead is a customer-visible problem. Reverse engineer malware and study evasion. Learn how attackers bypass endpoint security controls in the wild, and feed that understanding directly into the protections you design and harden. Own efficacy end to end. Review customer telemetry at fleet scale, investigate false positives and performance regressions, and establish mitigation strategies. Shipping the feature is the beginning of the job, not the end. Extend protection parity across platforms. Bring the depth we have on Windows to macOS and Linux, and support new hardware architectures as they reach the enterprise. Collaborate across Elastic Security. Implement endpoint code alongside peers in multiple countries and time zones, and work with the detection engineers, malware researchers, and data scientists who rely on your telemetry. Help lead the team's technical direction. Take point on initiatives that span multiple releases, raise the bar in design and code reviews, and mentor engineers earlier in their careers. Publish and present. Share your research on Elastic Security Labs, present at conferences, and contribute to the open source projects that organizations around the world rely on. What You Bring: 6+ years of professional experience analyzing attacker tactics, techniques, and procedures (TTPs) and building detection methods for real security threats. 6+ years of development experience in C, C++, and Python, with the judgment to write code that is safe, fast, and maintainable in a security-critical codebase. Deep operating system internals knowledge, in both kernel and user mode, deep enough to reason about undocumented behavior and find security-relevant structures nobody has written about yet. Windows depth is what we need most, with macOS or Linux depth close behind. In-depth reverse engineering and malware analysis experience, and comfort with the tooling that makes hard binaries readable. An adversarial instinct. You anticipate how a protection will be evaded before it ships, and design for resilience rather than for the proof of concept in front of you. A collaborative mentality and an eagerness to learn new skills, new platforms, and emerging technologies. You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes. You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication. Passion for protecting the world's data from attack! Bonus Points: Vulnerability research and exploit development, particularly with a track record of responsible disclosure to platform vendors. Red teaming experience, or a background in building offensive tooling and defeating endpoint security products. Kernel-mode development, including driver development and debugging. Ownership or long-term maintenance of an open-source security tool with a real user base. Conference speaking experience (e.g., Black Hat, DEF CON, CODE BLUE, Virus Bulletin) or an established publication record. Experience applying machine learning to endpoint security problems. Familiarity with the Elastic Stack (Elasticsearch, Kibana) and Elastic Security. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave Security & Privacy Responsibilities: Take ownership of protecting the confidentiality, integrity, and availability of organizational data and systems by following applicable privacy and security policies, standards, and procedures. Ensure that all individual contributions follow Elastic's Secure Software Development Framework (SSDF). Proactively participate in mandatory role-based training to ensure personal technical execution consistently aligns with the highest standards of data protection, data privacy, and system resilience. Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement. Compensation for this role is in the form of base salary. This role does not have a variable compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including . click apply for full job details
Senior Scientist, Biopharmaceutics Modelling & Simulation (PBBM/PBPK) Location: Sandwich, Kent Rate: 20.66 per hour PAYE 23.15 per hour Umbrella Job Type: 12-month contract Role Summary We are seeking a highly motivated Senior Scientist with expertise in Physiologically Based Pharmacokinetic (PBPK) and Physiologically Based Biopharmaceutics Modelling (PBBM) to support the development and optimization of innovative drug products across all stages of development. The successful candidate will apply mechanistic modelling and simulation approaches to understand and predict the impact of drug substance properties, formulation design, dissolution, physiology, and clinical variables on in vivo performance and patient outcomes. The scientist will work within multidisciplinary project teams and collaborate closely with scientists in biopharmaceutics, formulation development, clinical pharmacology and PDM (Pharmacokinetics, Distribution and Metabolism) to support model-informed drug development and regulatory decision-making. Key Responsibilities Develop, verify, and apply PBBM and PBPK models using platforms such as Simcyp, GastroPlus or equivalent software. Support the prediction and assessment of oral absorption, food effect, bioavailability, formulation bridging, dissolution and particle size specifications, and virtual bioequivalence. Perform model calibration, sensitivity analyses, scenario testing, and uncertainty assessments to support project decisions. Collaborate with laboratory scientists to design and interpret in vitro studies supporting model development and verification. Support the development of clinically relevant dissolution methods and in vitro-in vivo links where appropriate. Communicate modelling outcomes through technical reports, project team presentations, regulatory documents, and scientific publications. Contribute to innovation in modelling methodologies, automation, and data-driven approaches, including AI/ML-enabled predictive tools where appropriate. Required Qualifications PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering or a related scientific discipline. For MSc candidates, substantial relevant industrial experience in PBPK, PBBM, pharmacometrics, mechanistic modelling or model-informed drug development is required. Demonstrated expertise in PBPK, PBBM, pharmacometrics, mechanistic modelling, or model-informed drug development. Strong understanding of oral absorption, dissolution, permeability, biopharmaceutics, and pharmacokinetics. Experience with PBPK/PBBM modelling software such as Simcyp, GastroPlus, PK-Sim or similar platforms. Demonstrated ability to apply modelling to solve pharmaceutical development challenges. Strong written and verbal scientific communication skills. Evidence of scientific productivity through publications, presentations, technical reports or regulatory contributions. Preferred Qualifications Experience supporting regulatory submissions involving PBPK or PBBM analyses. Experience with virtual bioequivalence or clinically relevant dissolution specifications. Working knowledge of Python, R, MATLAB, or other scientific programming tools. Experience applying machine learning or data science approaches to pharmaceutical development. Experience across multiple drug modalities, including poorly soluble compounds, enabling formulations, peptides, or complex dosage forms Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Sep 30, 2026
Contractor
Senior Scientist, Biopharmaceutics Modelling & Simulation (PBBM/PBPK) Location: Sandwich, Kent Rate: 20.66 per hour PAYE 23.15 per hour Umbrella Job Type: 12-month contract Role Summary We are seeking a highly motivated Senior Scientist with expertise in Physiologically Based Pharmacokinetic (PBPK) and Physiologically Based Biopharmaceutics Modelling (PBBM) to support the development and optimization of innovative drug products across all stages of development. The successful candidate will apply mechanistic modelling and simulation approaches to understand and predict the impact of drug substance properties, formulation design, dissolution, physiology, and clinical variables on in vivo performance and patient outcomes. The scientist will work within multidisciplinary project teams and collaborate closely with scientists in biopharmaceutics, formulation development, clinical pharmacology and PDM (Pharmacokinetics, Distribution and Metabolism) to support model-informed drug development and regulatory decision-making. Key Responsibilities Develop, verify, and apply PBBM and PBPK models using platforms such as Simcyp, GastroPlus or equivalent software. Support the prediction and assessment of oral absorption, food effect, bioavailability, formulation bridging, dissolution and particle size specifications, and virtual bioequivalence. Perform model calibration, sensitivity analyses, scenario testing, and uncertainty assessments to support project decisions. Collaborate with laboratory scientists to design and interpret in vitro studies supporting model development and verification. Support the development of clinically relevant dissolution methods and in vitro-in vivo links where appropriate. Communicate modelling outcomes through technical reports, project team presentations, regulatory documents, and scientific publications. Contribute to innovation in modelling methodologies, automation, and data-driven approaches, including AI/ML-enabled predictive tools where appropriate. Required Qualifications PhD or MSc in Pharmaceutical Sciences, Biopharmaceutics, Pharmacokinetics, Pharmacometrics, Chemical Engineering or a related scientific discipline. For MSc candidates, substantial relevant industrial experience in PBPK, PBBM, pharmacometrics, mechanistic modelling or model-informed drug development is required. Demonstrated expertise in PBPK, PBBM, pharmacometrics, mechanistic modelling, or model-informed drug development. Strong understanding of oral absorption, dissolution, permeability, biopharmaceutics, and pharmacokinetics. Experience with PBPK/PBBM modelling software such as Simcyp, GastroPlus, PK-Sim or similar platforms. Demonstrated ability to apply modelling to solve pharmaceutical development challenges. Strong written and verbal scientific communication skills. Evidence of scientific productivity through publications, presentations, technical reports or regulatory contributions. Preferred Qualifications Experience supporting regulatory submissions involving PBPK or PBBM analyses. Experience with virtual bioequivalence or clinically relevant dissolution specifications. Working knowledge of Python, R, MATLAB, or other scientific programming tools. Experience applying machine learning or data science approaches to pharmaceutical development. Experience across multiple drug modalities, including poorly soluble compounds, enabling formulations, peptides, or complex dosage forms Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Keen to join a company that champions growth and development? Join a leading UK Managed Service Provider expanding into applied AI and LLM-based solutions for enterprise clients. The organisation is building a new AI capability that combines deep technical expertise with practical, commercially focused solutions for existing and prospective managed services customers. This company is looking for a Customer-Facing AI Data Scientist to work directly with client engineering leads and technical stakeholders, architecting LLM solutions, supporting design decisions, and translating advanced model knowledge into commercially viable outcomes. The role offers genuine ownership across LLM fine-tuning, evaluation, and deployment, with the opportunity to help shape a new AI practice within an established MSP. Responsibilities: Act as the primary technical point of contact for enterprise clients on LLM-based engagements, from scoping through to deployment. Design and architect LLM training, fine-tuning, and evaluation pipelines tailored to specific client use cases and data environments. Translate ambiguous client requirements into concrete technical architectures and delivery plans. Lead deep technical discovery sessions and whiteboard sessions with client engineering and data science teams. Own model performance, evaluation methodology, and responsible deployment recommendations for client-facing solutions. Partner with sales, account management, and delivery teams to ensure architectural decisions are technically sound and commercially deliverable within a managed services model. Skills/Must Have: Experience: 5+ years in applied data science or ML engineering, with direct exposure to LLM training or fine-tuning at a technical (not just API-consumption) level. Core Tech/Domain: Hands-on experience with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills: Confident and credible in front of senior technical stakeholders, comfortable with pushback in live technical discussions, able to hold a boardroom and a terminal equally well. Desirable Skills: Experience with distributed training infrastructure (multi-GPU, multi-node). Prior pre-sales, solutions architecture, or consulting background. Familiarity with model safety, alignment, or responsible AI evaluation frameworks. Salary: £120,000
Sep 30, 2026
Full time
Keen to join a company that champions growth and development? Join a leading UK Managed Service Provider expanding into applied AI and LLM-based solutions for enterprise clients. The organisation is building a new AI capability that combines deep technical expertise with practical, commercially focused solutions for existing and prospective managed services customers. This company is looking for a Customer-Facing AI Data Scientist to work directly with client engineering leads and technical stakeholders, architecting LLM solutions, supporting design decisions, and translating advanced model knowledge into commercially viable outcomes. The role offers genuine ownership across LLM fine-tuning, evaluation, and deployment, with the opportunity to help shape a new AI practice within an established MSP. Responsibilities: Act as the primary technical point of contact for enterprise clients on LLM-based engagements, from scoping through to deployment. Design and architect LLM training, fine-tuning, and evaluation pipelines tailored to specific client use cases and data environments. Translate ambiguous client requirements into concrete technical architectures and delivery plans. Lead deep technical discovery sessions and whiteboard sessions with client engineering and data science teams. Own model performance, evaluation methodology, and responsible deployment recommendations for client-facing solutions. Partner with sales, account management, and delivery teams to ensure architectural decisions are technically sound and commercially deliverable within a managed services model. Skills/Must Have: Experience: 5+ years in applied data science or ML engineering, with direct exposure to LLM training or fine-tuning at a technical (not just API-consumption) level. Core Tech/Domain: Hands-on experience with transformer architectures, LLM pre-training or fine-tuning workflows, and modern ML frameworks (PyTorch, Hugging Face, or equivalent). Methodology/Protocols: Strong grounding in evaluation methodology, RAG and fine-tuning trade-offs, and production ML deployment patterns. Soft Skills: Confident and credible in front of senior technical stakeholders, comfortable with pushback in live technical discussions, able to hold a boardroom and a terminal equally well. Desirable Skills: Experience with distributed training infrastructure (multi-GPU, multi-node). Prior pre-sales, solutions architecture, or consulting background. Familiarity with model safety, alignment, or responsible AI evaluation frameworks. Salary: £120,000
Role Overview We are looking for a Lead Engineer to take ownership of one of HIVED's highest impact technical domains: the planning pipeline that powers supply demand matching, parcel distribution, and routing optimisation. As part of HIVED's Routing Squad, you'll lead the team tackling some of the most complex and intellectually demanding problems in computer science - building systems that decide how parcels move through the city efficiently, reliably, and at scale. This is a rare opportunity to combine deep engineering expertise, optimisation thinking, and real world domain understanding to shape a core strategic advantage for HIVED. You'll own the technical direction of the squad, set a high bar for engineering quality, and lead a team of engineers working closely with data scientists, analysts, product, and operations. Your work will have a direct and visible impact: better routing, stronger planning capabilities, more efficient operations, and a delivery network you can see improving in the city around you. What You'll Be Doing Lead the Routing Squad across technical strategy, delivery, team leadership, and execution of squad goals. Own the technical direction for systems supporting routing optimisation, supply demand matching, parcel distribution, forecasting, and planning. Translate business priorities and operational needs into clear technical strategy, measurable outcomes, and pragmatic execution plans. Guide architecture and system design for scalable, reliable, production grade optimisation and planning systems. Work closely with optimisation engineers, backend engineers, data scientists, analysts, product, and operational stakeholders to turn complex problems into shipped solutions. Lead the exploration and evaluation of new approaches across routing, scheduling, optimisation, forecasting, and distributed systems. Set and uphold a high engineering bar through technical reviews, architectural guidance, mentoring, and accountability for maintainable software. Manage, coach, and develop engineers in the squad, including hiring, performance management, development planning, and resourcing. Foster a culture of curiosity, ownership, high performance, and continuous learning within the team. What We're Looking For 5+ years of software engineering experience, including backend or distributed systems development. Experience leading engineers, either as a people manager or as a senior technical leader with meaningful ownership over team delivery. Proven ability to translate complex, ambiguous business or operational problems into robust technical solutions. Strong system design and architectural skills in distributed, production grade environments. An appetite for hard optimisation problems - especially routing, scheduling, forecasting, supply demand matching, or other constraint heavy domains. Strong analytical thinking and the ability to combine technical depth with practical judgement. A track record of setting high engineering standards and helping teams consistently meet them. Experience working cross functionally with product, operations, data scientists, analysts, and senior leadership. Strong ownership mindset: you care about the strategy, the system, the team, and the real world outcome. Nice to Have Experience with routing, scheduling, optimisation, forecasting, logistics, mobility, or marketplace systems. Experience productionising algorithms, solvers, models, or data heavy decision systems. Familiarity with optimisation techniques such as linear/integer programming, constraint programming, heuristics, or solver based approaches. Experience working in a fast scaling operational environment where software has a direct physical world impact. Technologies We Use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event driven architecture and domain driven design Benefits Dynamic hybrid working environment with a diverse and driven team Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role 25 days of holiday allowance plus public holidays 1 Birthday Day Off + 2 Tenure Based Additional Days Off Subsidised Private Medical Insurance including dental, vision & mental health therapy Bi annual performance reviews and tailored development plans Competitive salary + EMI options scheme Annual compensation review Team lunch provided once a week Quarterly team socials and annual sports day Enhanced maternity/paternity/adoption policy as day 1 right Community volunteer daysCycle to work scheme Dog friendly office and depots MacBook Air or Windows Laptop (depending on your preference)
Sep 30, 2026
Full time
Role Overview We are looking for a Lead Engineer to take ownership of one of HIVED's highest impact technical domains: the planning pipeline that powers supply demand matching, parcel distribution, and routing optimisation. As part of HIVED's Routing Squad, you'll lead the team tackling some of the most complex and intellectually demanding problems in computer science - building systems that decide how parcels move through the city efficiently, reliably, and at scale. This is a rare opportunity to combine deep engineering expertise, optimisation thinking, and real world domain understanding to shape a core strategic advantage for HIVED. You'll own the technical direction of the squad, set a high bar for engineering quality, and lead a team of engineers working closely with data scientists, analysts, product, and operations. Your work will have a direct and visible impact: better routing, stronger planning capabilities, more efficient operations, and a delivery network you can see improving in the city around you. What You'll Be Doing Lead the Routing Squad across technical strategy, delivery, team leadership, and execution of squad goals. Own the technical direction for systems supporting routing optimisation, supply demand matching, parcel distribution, forecasting, and planning. Translate business priorities and operational needs into clear technical strategy, measurable outcomes, and pragmatic execution plans. Guide architecture and system design for scalable, reliable, production grade optimisation and planning systems. Work closely with optimisation engineers, backend engineers, data scientists, analysts, product, and operational stakeholders to turn complex problems into shipped solutions. Lead the exploration and evaluation of new approaches across routing, scheduling, optimisation, forecasting, and distributed systems. Set and uphold a high engineering bar through technical reviews, architectural guidance, mentoring, and accountability for maintainable software. Manage, coach, and develop engineers in the squad, including hiring, performance management, development planning, and resourcing. Foster a culture of curiosity, ownership, high performance, and continuous learning within the team. What We're Looking For 5+ years of software engineering experience, including backend or distributed systems development. Experience leading engineers, either as a people manager or as a senior technical leader with meaningful ownership over team delivery. Proven ability to translate complex, ambiguous business or operational problems into robust technical solutions. Strong system design and architectural skills in distributed, production grade environments. An appetite for hard optimisation problems - especially routing, scheduling, forecasting, supply demand matching, or other constraint heavy domains. Strong analytical thinking and the ability to combine technical depth with practical judgement. A track record of setting high engineering standards and helping teams consistently meet them. Experience working cross functionally with product, operations, data scientists, analysts, and senior leadership. Strong ownership mindset: you care about the strategy, the system, the team, and the real world outcome. Nice to Have Experience with routing, scheduling, optimisation, forecasting, logistics, mobility, or marketplace systems. Experience productionising algorithms, solvers, models, or data heavy decision systems. Familiarity with optimisation techniques such as linear/integer programming, constraint programming, heuristics, or solver based approaches. Experience working in a fast scaling operational environment where software has a direct physical world impact. Technologies We Use Backend languages: Python, Go Tech infrastructure: AWS, CDK TypeScript, Lambda, SQS, EventBridge, RDS, DynamoDB Data tooling: GCP, BigQuery, Looker, Looker Studio Observability: Loki, Tempo, Grafana, Prometheus Event driven architecture and domain driven design Benefits Dynamic hybrid working environment with a diverse and driven team Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role 25 days of holiday allowance plus public holidays 1 Birthday Day Off + 2 Tenure Based Additional Days Off Subsidised Private Medical Insurance including dental, vision & mental health therapy Bi annual performance reviews and tailored development plans Competitive salary + EMI options scheme Annual compensation review Team lunch provided once a week Quarterly team socials and annual sports day Enhanced maternity/paternity/adoption policy as day 1 right Community volunteer daysCycle to work scheme Dog friendly office and depots MacBook Air or Windows Laptop (depending on your preference)
Elastic is hiring a Senior Security Research Engineer to lead the development of endpoint protections across Windows, macOS, and Linux. You will research attacker techniques, implement production-grade C/C++ code, and extend telemetry to improve detection and prevention across millions of endpoints. You will collaborate with a diverse team of researchers, data scientists, and engineers, mentoring others and contributing to Elastic Security Labs.
Sep 30, 2026
Full time
Elastic is hiring a Senior Security Research Engineer to lead the development of endpoint protections across Windows, macOS, and Linux. You will research attacker techniques, implement production-grade C/C++ code, and extend telemetry to improve detection and prevention across millions of endpoints. You will collaborate with a diverse team of researchers, data scientists, and engineers, mentoring others and contributing to Elastic Security Labs.
Forms & Precedents AI Optimization LeadApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115340 Forms & Precedents AI Optimization Lead Are you passionate about driving innovation through AI and automation at a global scale? Do you thrive on transforming ideas into impactful, scalable solutions that improve productivity and quality? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role As an AI Optimization Lead, you will drive the identification, development, and deployment of AI and automation solutions across Global Forms and Precedents (GFP) Editorial Operations. You will collaborate with global teams to translate innovative ideas into practical strategies that enhance quality, efficiency, and scalability in content operations. Responsibilities Identify, assess, and prioritize opportunities to apply AI and automation to streamline editorial, metadata, and content operations workflows across global operations teams Support the development and execution of the GFP AI strategy, ensuring alignment with business goals and market demands Collaborate with cross-functional teams to prioritize opportunities and execute AI and automation content optimization from ideation to global deployment Review proposed approaches and designs to ensure alignment with organizational standards, governance, and quality expectations Oversee the integration of AI and automation solutions for global deployment Create progress reports and communicate updates and outcomes to internal teams, senior leadership, and stakeholders using data-driven insights Stay informed of industry trends, emerging technologies, and best practices in AI and automation with a global focus Drive continuous improvement by documenting processes, sharing lessons learned, and promoting responsible AI usage Requirements Experience in content operations, project management, or product development Extensive experience across forms and precedents content in at least one global region Experience utilizing AI and automation for content optimization Proven ability to work independently and collaboratively, leading global cross-functional projects across multiple time zones Demonstrated track record of delivering complex projects on time and within budget Proficiency in AI technologies, including large language models (LLMs), natural language processing (NLP), and machine learning applications Strong data analysis skills with the ability to communicate insights effectively to stakeholders Excellent communication and stakeholder management skills, with the ability to influence outcomes and present at both detailed and executive levels Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Sep 30, 2026
Full time
Forms & Precedents AI Optimization LeadApplylocations: United Kingdom: Farringdontime type: Full timeposted on: Posted Todayjob requisition id: R115340 Forms & Precedents AI Optimization Lead Are you passionate about driving innovation through AI and automation at a global scale? Do you thrive on transforming ideas into impactful, scalable solutions that improve productivity and quality? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (). About the Role As an AI Optimization Lead, you will drive the identification, development, and deployment of AI and automation solutions across Global Forms and Precedents (GFP) Editorial Operations. You will collaborate with global teams to translate innovative ideas into practical strategies that enhance quality, efficiency, and scalability in content operations. Responsibilities Identify, assess, and prioritize opportunities to apply AI and automation to streamline editorial, metadata, and content operations workflows across global operations teams Support the development and execution of the GFP AI strategy, ensuring alignment with business goals and market demands Collaborate with cross-functional teams to prioritize opportunities and execute AI and automation content optimization from ideation to global deployment Review proposed approaches and designs to ensure alignment with organizational standards, governance, and quality expectations Oversee the integration of AI and automation solutions for global deployment Create progress reports and communicate updates and outcomes to internal teams, senior leadership, and stakeholders using data-driven insights Stay informed of industry trends, emerging technologies, and best practices in AI and automation with a global focus Drive continuous improvement by documenting processes, sharing lessons learned, and promoting responsible AI usage Requirements Experience in content operations, project management, or product development Extensive experience across forms and precedents content in at least one global region Experience utilizing AI and automation for content optimization Proven ability to work independently and collaboratively, leading global cross-functional projects across multiple time zones Demonstrated track record of delivering complex projects on time and within budget Proficiency in AI technologies, including large language models (LLMs), natural language processing (NLP), and machine learning applications Strong data analysis skills with the ability to communicate insights effectively to stakeholders Excellent communication and stakeholder management skills, with the ability to influence outcomes and present at both detailed and executive levels Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-word challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As an Applied AI ML Director, Risk Management & Compliance at JPMorganChase within the Digital Strategy and Enablement team, you will be supporting Market Risk, Country Risk and Principal Risk, and you'll shape how we leverage artificial intelligence and advanced analytics to solve complex business challenges. You will guide us in exploring, piloting, and implementing transformative AI solutions, including Gen AI, while collaborating closely with Product, Engineering, and Lines of Business. Together, we will foster a culture of experimentation, delivery, and continuous learning, encouraging new ideas and maintaining operational excellence. You will help build and mentor a high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands on role, you will engage with technical aspects, review code, monitor the impact of production GenAI models, and enable rapid prototyping, ensuring our solutions deliver real business value and are seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data driven applications in collaboration with Product, Business and Engineering teams. Use cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Distill and communicate complex analytical findings and recommendations to senior leadership to inform strategic decisions. Manage the end to end model development lifecycle, including planning, execution, continuous improvement, risk management, and alignment with business objectives. Adhere to model risk management, responsible AI, and governance standards, including explainability, fairness, and compliance requirements. Collaborate with senior leaders to re engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency. Integrate data science solutions and applications into operational workflows to drive business value and adoption. Guide research initiatives and pilot projects to identify and apply state of the art AI/ML solutions, including GenAI and agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large scale enterprise environment, including hands on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data and metric driven product development, cloud native deployment in large scale distributed environments, and the ability to develop and debug production quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Hands on experience with agentic frameworks and orchestration (e.g., LangGraph, Google ADK or equivalent). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field.
Sep 30, 2026
Full time
Job Summary Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-word challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class. As an Applied AI ML Director, Risk Management & Compliance at JPMorganChase within the Digital Strategy and Enablement team, you will be supporting Market Risk, Country Risk and Principal Risk, and you'll shape how we leverage artificial intelligence and advanced analytics to solve complex business challenges. You will guide us in exploring, piloting, and implementing transformative AI solutions, including Gen AI, while collaborating closely with Product, Engineering, and Lines of Business. Together, we will foster a culture of experimentation, delivery, and continuous learning, encouraging new ideas and maintaining operational excellence. You will help build and mentor a high-performing team focused on deep data understanding and advanced analytics, driving the development of robust tools and solutions using cutting-edge AI/ML techniques, cloud technologies, and enterprise knowledge bases. In this strategic and hands on role, you will engage with technical aspects, review code, monitor the impact of production GenAI models, and enable rapid prototyping, ensuring our solutions deliver real business value and are seamlessly integrated into our operations. Job Responsibilities Oversee and manage a team of data scientists responsible for developing predictive models, prompt-based LLM solutions, autonomous agents and agentic systems. Lead the design, build, and deployment of impactful AI and data driven applications in collaboration with Product, Business and Engineering teams. Use cloud, data mesh, and knowledge base technologies such as centralized repositories, semantic search, and automated information retrieval systems that organize, store, and provide easy access to critical business data and insights. Distill and communicate complex analytical findings and recommendations to senior leadership to inform strategic decisions. Manage the end to end model development lifecycle, including planning, execution, continuous improvement, risk management, and alignment with business objectives. Adhere to model risk management, responsible AI, and governance standards, including explainability, fairness, and compliance requirements. Collaborate with senior leaders to re engineer processes and define a compelling vision for the target state by embedding AI into current workflows, driving change and efficiency. Integrate data science solutions and applications into operational workflows to drive business value and adoption. Guide research initiatives and pilot projects to identify and apply state of the art AI/ML solutions, including GenAI and agentic technologies. Implement robust drift monitoring and model retraining processes to maintain accuracy and performance. Required Qualifications, Capabilities, and Skills Extensive experience in data science, analytics or a related field. Proven track record of deploying, operationalizing, and managing AI, ML, and advanced analytics models in a large scale enterprise environment, including hands on experience with ML Ops frameworks, tools, and best practices for model monitoring, automation, and lifecycle management. Significant leadership experience in managing data science/R&D teams and driving technology innovation. Extensive experience in AI/ML algorithms, statistical modeling, and scalable data processing pipelines, with a strong background in modern data platforms (e.g. Databricks or equivalent), cloud based technologies, data mesh architectures, and big data ecosystems. Experience with A/B experimentation, data and metric driven product development, cloud native deployment in large scale distributed environments, and the ability to develop and debug production quality code. Strong written and verbal communication skills, with the ability to convey technical concepts and results to both technical and business audiences. Scientific mindset with the ability to innovate and work both independently and collaboratively within a team. Ability to thrive in a matrix environment and build partnerships with colleagues at various levels and across multiple locations. Hands on experience with agentic frameworks and orchestration (e.g., LangGraph, Google ADK or equivalent). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field.
ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise-scale data infrastructure supporting internal teams across AI, data, and applications. The ideal candidate brings strong experience with big data processing, pipeline orchestration, and data modeling. You will own production pipelines, participate in on-call rotations, and collaborate with ML engineers, data scientists, and product managers to deliver scalable data
Sep 30, 2026
Full time
ZoomInfo is seeking a Senior Data Engineer to join our Enterprise Data Engineering team. You will design and expand enterprise-scale data infrastructure supporting internal teams across AI, data, and applications. The ideal candidate brings strong experience with big data processing, pipeline orchestration, and data modeling. You will own production pipelines, participate in on-call rotations, and collaborate with ML engineers, data scientists, and product managers to deliver scalable data
