63 jobs found

Senior AI Specialist Position Description At CGI, we help organisations unlock the full potential of artificial intelligence to solve complex business challenges, accelerate innovation, and create lasting value. As an AI Specialist within our AI Practice, you will play a key role in shaping and delivering cutting-edge AI solutions that transform how organisations operate, make decisions, and engage with their customers. Working with clients across a range of industries, you will combine technical expertise with strategic thinking to design and implement impactful AI solutions at scale. Joining a growing team of AI experts, you will have the opportunity to influence the future of AI adoption, contribute to high-profile engagements, and continually develop your skills in a collaborative and supportive environment. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the work, you will need to hold UK Security Clearance or be eligible to go through this clearance. These roles will be predominately hybrid with some work based in UK CGI or client offices depending on the specific programme. Travel away from base office will be expensed. Your future duties and responsibilities In this role, you will work with clients and multidisciplinary teams to identify opportunities where AI can deliver meaningful business outcomes. You will help shape AI strategies, design innovative solutions, and lead delivery from initial concept through to deployment and optimisation. Leveraging expertise across Machine Learning, Generative AI, Natural Language Processing, Computer Vision, and Advanced Analytics, you will develop solutions that improve decision-making, enhance customer experiences, optimise operations, and unlock new sources of value. As part of CGI's AI Practice, you will contribute to the growth of our AI capabilities while working on a diverse portfolio of engagements. You will have the opportunity to mentor colleagues, share knowledge, and influence how organisations adopt AI securely, responsibly, and effectively. This role offers the chance to combine technical excellence with innovation and strategic impact, helping clients realise the full potential of AI technologies. Key responsibilities: • Engage with clients and stakeholders to understand business challenges and identify AI opportunities • Develop AI strategies, roadmaps, and solution designs aligned to organisational objectives • Lead the delivery of AI solutions from proof of concept through to production deployment and optimisation • Design, build, and implement Machine Learning, Generative AI, Natural Language Processing, and Advanced Analytics solutions • Conduct experimentation and model evaluation to validate approaches and improve solution performance • Translate complex technical outputs into clear business insights and recommendations • Ensure AI solutions are scalable, secure, reliable, and aligned with governance requirements • Apply software engineering and MLOps practices to support robust and maintainable AI delivery • Collaborate with data scientists, engineers, architects, and business stakeholders throughout project lifecycles • Mentor colleagues and contribute to capability development within the AI Practice • Support business development activities by contributing technical expertise to proposals and client discussions • Stay informed on emerging AI technologies, frameworks, and industry trends to drive innovation and continuous improvement Required qualifications to be successful in this role You should have proven experience delivering AI solutions within a commercial environment and be comfortable working across both technical and business-facing activities. You will bring a strong understanding of modern AI techniques, software engineering practices, and cloud-based AI services, alongside the ability to communicate complex concepts clearly to a wide range of stakeholders. Essential qualifications: • Proven experience delivering AI, Machine Learning, or Advanced Analytics solutions in a commercial environment • Strong expertise in Machine Learning, Natural Language Processing, Generative AI, and advanced analytical techniques • Proficiency in Python and experience with AI and data science frameworks such as pandas, scikit-learn, TensorFlow, PyTorch, or LangChain • Experience developing and deploying AI models into production environments • Solid understanding of data engineering principles, including data preparation, integration, and deployment pipelines • Knowledge of MLOps practices and model lifecycle management • Experience applying software engineering best practices including Git-based workflows, code reviews, CI/CD, and automated testing • Familiarity with containerisation technologies such as Docker and Kubernetes • Experience working with cloud AI and Machine Learning services including AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform • Strong analytical and problem-solving skills with the ability to develop practical AI solutions to complex business challenges • Ability to communicate technical concepts effectively to both technical and non-technical audiences • Experience collaborating with clients and cross-functional teams to define requirements and deliver successful outcomes • Commitment to continuous learning and keeping pace with developments in AI technologies and methodologies Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.

Python Developer / Backend Software Engineer (Machine Learning AWS) Remote UK to £90k Are you a data savvy Python Developer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence. As a Python Developer you'll join a cross functional team, collaborating with Data Scientists and Machine Learning Engineers on complex insurance underwriting and pricing systems. They'll be a range of projects with a focus on implementing Machine Learning algorithms into production systems. There's a collaborative team Agile environment where you'll participate in technical discussions and have your voice heard, there's also opportunities to mentor other more junior team members if desired. Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can go into the London office as often or as little as desired and can work fully remotely from anywhere in England; you can also work at times that suit you. About you: You are a data savvy Python Developer with advanced coding skills You have experience of across the full lifecycle of ML model development including into production You're collaborative, enjoy problem solving and working with others to overcome technical challenges You have a strong knowledge of AWS You have a good knowledge of modern software engineering best practices, microservices, TDD / DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Python Developer (Machine Learning AWS) you will earn a competitive package: Up to £90k salary Remote working including flexible working hours Workplace nursery scheme Enhanced maternity package 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day" Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme Weekly Yoga and monthly Acupuncture sessions, Headspace membership Diverse, inclusive team environment with a range of support networks A range of other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Python Developer / Backend Software Engineer (Machine Learning AWS) opportunity.

Lead Data Engineer Location: London, City (Hybrid) £ Highly competitive base with bonus and benefits Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making. Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies. The Role As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures. Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams. Key Responsibilities Define and implement data engineering standards, frameworks, and best practices. Design, build, and maintain secure, scalable, and observable data pipelines. Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures. Implement and manage Medallion Architecture patterns for data ingestion and transformation. Ensure data quality, completeness, integrity, and governance across the platform. Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency. Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products. Support CI/CD implementation and engineering automation practices. Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities. Design monitoring, disaster recovery, and business continuity strategies for critical data services. Promote effective data governance, metadata management, and catalogue standards. Mentor engineers and provide technical leadership across multiple data initiatives. Required Skills & Experience 5 years' experience in Data Engineering within cloud-based environments. Proven expertise with Microsoft Fabric and modern data platform technologies. Advanced Python and SQL development skills. Experience building and optimising ETL/ELT pipelines. Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures. Experience with Azure Data Factory, Azure Synapse, and Apache Spark. Knowledge of data modelling, semantic models, and enterprise reporting solutions. Experience implementing data governance, security, and quality frameworks. Strong understanding of modern data engineering practices, including observability and monitoring. Experience working with CI/CD pipelines and DevOps practices. Ability to engage effectively with both technical and non-technical stakeholders. What We're Looking For The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies. If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.

We're working with an engineering-led technology business developing complex sensor-based products used in highly regulated environments across healthcare, security and critical infrastructure. This is a hands-on senior engineering role where you'll work across firmware development, embedded architecture, RTOS environments, IoT connectivity and emerging Edge AI applications. You'll be joining a collaborative product development team with significant investment in R&D and the freedom to influence technical direction. What You'll Be Doing Developing embedded software in C and C++ Working with STM32 microcontrollers Designing and implementing firmware for commercial products Developing software within FreeRTOS environments Working with I2C, SPI, CAN, UART and Ethernet communications Supporting connected IoT devices and cloud integration Collaborating with hardware engineers and data scientists Contributing to architecture, design reviews and technical decision making Supporting product development from concept through to release What We're Looking For Essential 5+ years' embedded software development experience Strong Embedded C and C++ Commercial product development experience STM32 experience RTOS experience, ideally FreeRTOS Experience with embedded communications protocols Strong debugging and problem-solving skills Nice To Have Nvidia Jetson Embedded Linux Edge AI / Machine Learning TouchGFX IoT connectivity Embedded cybersecurity

Data Scientist (ML Engineer) Location: Manchester Salary: £49,387 to £56,515 per annum Vacancy Type: Permanent, Full Time The closing date is 18 June 2026 Job summary Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don't delay your submission. Main duties of the job We're looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you'll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You'll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you'll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. About us The Architecture & Data team sits at the heart of NICE's digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension - Secure your future with one of the most rewarding pension schemes in the UK Flexible working - Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts - Save on shopping, dining and more with a Blue Light CardTime to recharge - Start with 27 days' annual leave plus bank holidays Inclusive staff networks - Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud - we celebrate diversity Tailored development - Grow your career with personalised learning and development opportunities Person Specification Holds highly developed specialist knowledge and expertise acquired through a master's degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable Artificial intelligence certification. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. To Apply If you feel you are a suitable candidate and would like to work for NICE (The National Institute for Health and Care Excellence), please click apply to be redirected to their website to complete your application.

Senior Software Engineer West Midlands (Hybrid) 45,000 - 65,000 + Bonus + Private Medical + Excellent Benefits Build Technology That Makes a Difference Are you an experienced Software Engineer looking to work on technology with real-world impact? We're working with an innovative engineering and technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they are looking for a Senior Software Engineer to join their engineering team and contribute to the next generation of their technology platform. This is an opportunity to tackle genuinely interesting engineering challenges at the intersection of software, hardware and AI. The Role You'll take ownership of software development across a range of products, with a primary focus on Linux-based systems and Python development. Working closely with software engineers, data scientists and product specialists, you'll contribute to the design, development and deployment of innovative solutions used in demanding real-world environments. This is a highly hands-on role where you'll have significant influence over architecture, technical direction and engineering best practice. Key Responsibilities Develop robust software applications using Python and C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with multidisciplinary engineering teams Drive software quality and engineering best practice What We're Looking For Essential Strong commercial Python development experience Experience developing software on Linux platforms Proven software engineering experience within a product development environment Experience with Git and CI/CD workflows Knowledge of automated testing methodologies Strong communication and collaboration skills Desirable C++ development experience Embedded Linux exposure Machine learning deployment experience MLOps experience NVIDIA Jetson experience Experience developing software that interfaces with hardware Experience within engineering, instrumentation, industrial technology or related product environments About You You'll be a technically strong engineer who enjoys solving complex problems and taking ownership of your work. You'll be comfortable collaborating across teams, contributing ideas and helping shape technical decisions. Whilst this is not a formal management role, we're particularly interested in individuals who can demonstrate leadership qualities and a desire to mentor others. Why Apply? Work on cutting-edge technology with real-world applications Join a growing and innovative engineering business Exposure to AI, machine learning and intelligent systems Significant technical ownership and influence Collaborative and highly skilled engineering team Long-term career progression opportunities Diverse and challenging technical projects If you're a Software Engineer looking to work on innovative products that combine software, hardware and intelligent systems, we'd love to hear from you. Apply now for immediate consideration.

Role: Data Scientist / Engineer Location: Remote / London - up to 1 day per week on-site Duration: 5 Months Day rate: 560 Inside IR35 Role Overview We are seeking an experienced Data Scientist with strong Data Engineering capabilities to support the Digital Screening programme. This role will play a key part in shaping a new digital screening service by leading exploratory analysis and supporting the development of high-quality dashboards and reporting products. You will work within a multidisciplinary Agile team, collaborating with Data Engineers, Analysts, and User-Centred Design (UCD) professionals to deliver robust, data-driven insights and scalable data solutions. Key Responsibilities Lead exploratory data analysis (EDA) to inform dashboard design and reporting outputs Define data requirements and determine appropriate dashboard content Identify and mitigate data quality risks and ensure data integrity Design, build, and maintain reusable data pipelines and datasets using Python and PySpark Develop and test datasets used in BI dashboards and reporting products Work with stakeholders to translate business needs into data solutions and insights Collaborate within an Agile delivery team, contributing to sprints, stand-ups, and planning sessions Apply modern engineering best practices including CI/CD, TDD, and DevSecOps Engage in pair programming and adhere to collaborative coding standards Essential Skills & Experience Strong hands-on experience with Python and PySpark Solid background in exploratory data analysis and data modelling Experience with Palantir platforms, ideally including the NHS Federated Data Platform (FDP) Proficiency with BI and data platforms such as Redshift, Databricks, or similar Experience building and validating datasets for dashboards and reporting Strong understanding of data pipelines, data quality, and governance principles Proven ability to work independently in Agile environments Experience collaborating with multidisciplinary teams, including UCD professionals Excellent communication and stakeholder management skills Familiarity with DevSecOps, CI/CD, and TDD practices Experience with pair programming and collaborative development approaches Desirable Skills Experience working within the NHS or wider public sector Familiarity with screening programmes or clinical data systems If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.

Analytical Chemist £Competitive + Bonus South East, Permanent ABJ6715 Are you an Analytical Chemist looking to take the next step in your career with a global industry leader? Do you enjoy developing innovative analytical methods, GC-MS and LC-MS solving complex technical challenges, and working with advanced instrumentation? An exciting opportunity has arisen for an Analytical Chemist to join a growing international organisation at the forefront of specialty chemicals innovation. This role offers the chance to work on cutting-edge projects, influence global analytical standards, and collaborate with R&D, Technical and Application teams across the business. The Opportunity Reporting to the Analytical Manager, you will play a key role in developing, validating and implementing advanced analytical methodologies that support innovation and product development across multiple technology platforms. You'll be part of a highly respected analytical team, using your expertise to drive scientific excellence and continuous improvement. For this role, it is essential that you have experience developing analytical methods from scratch. Method development is a key requirement and one of the main criteria the client will be assessing This position is ideal for a scientist with experience in GC-MS and/or LC-MS , who enjoys method development, problem-solving and applying analytical science to real-world commercial challenges. Key Responsibilities Develop, validate and implement analytical methods to support global R&D, Technical and Application teams. Deliver robust analytical solutions for new product development, troubleshooting and long-term strategic projects. Ensure analytical methodologies meet rigorous validation requirements and ISO standards. Train laboratory personnel on newly developed methods and best analytical practices. Collaborate with cross-functional teams to establish harmonised analytical approaches across the organisation. Present technical findings and recommendations to key stakeholders. Maintain and calibrate analytical instrumentation including GC, GC-MS, HPLC, LC-MS and FTIR. Drive continuous improvement initiatives using Lean and Design of Experiments (DoE) methodologies. Promote and maintain high laboratory safety standards in accordance with company SHE policies. Qualifications & Experience Degree-qualified scientist with a passion for analytical chemistry and method development. Pref: specialty chemicals, polymers, coatings, materials science, CROs, pharmaceuticals, environmental testing or related analytical environments. Hands-on experience with GC-MS and/or LC-MS. Experience in analytical method development and validation. Strong analytical, data interpretation and problem-solving skills. Pref Experience within an ISO 17025 environment. Knowledge of DoE and Lean methodologies. Experience with FTIR, Rheometry, GPC, SPME, thermal desorption or related techniques. Exposure to areas like polymers, adhesives, coatings, composites, plastics, rubber or advanced materials. Understanding of regulatory requirements, intellectual property and patent awareness. Benefits: Competitive salary; Performance-related bonus; Private healthcare ; Contributory pension scheme. Regular company social events. For a confidential discussion, please contact Alison Basson on (phone number removed) or (phone number removed) , or email your CV quoting Ref: ABJ715 to

Job title: Senior Generative AI Architect Location: London, UK Work mode: Hybrid - 3 days weekly from office Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (eg, AWS, Azure, Google Cloud) and programming languages such as Python, Java, or C++. We have partnered with Coforge and are looking for Senior Generative AI Architect in London, UK. Job Description : The Senior Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams. Key Responsibilities : Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards. Model Development: Lead the design, training, and deployment of generative AI models (eg, GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation. Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows. Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments. Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency. Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy. Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery. Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards. Experience: Minimum of 7 years of experience in AI/ML architecture or a related role. Proven experience in designing and deploying generative AI models and solutions. Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc. Experience with cloud platforms (eg, AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning

MLOps Engineer / Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to 537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML lifecycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to 537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV.If this role isn't quite right for you, but you're exploring the market, please get in touch for a confidential discussion. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

MLOps Engineer/Machine Learning Engineer Location: Portsmouth (2 days every other week on-site, remainder remote) Rate: Up to £537 per day (Umbrella only) Clearance: MOD SC Clearance required (enhanced vetting applies) Your new company You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector. This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases. Your new role As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines. What you'll be doing Develop and improve MLOps frameworks across multiple machine learning use cases Build and maintain CI/CD pipelines using GitLab (YAML-based) Deploy and manage containerised applications using Docker and Kubernetes Implement DevSecOps practices, including security scanning and automated workflows Develop scripts in Python, Bash, and Linux environments to support automation Work within air-gapped environments, ensuring secure deployment of ML solutions Collaborate with data scientists to operationalise ML models Utilise tools such as MLflow and Airflow for model tracking and orchestration Support cloud-based deployments across AWS and Google Cloud Platform Ensure performance, reliability, and scalability of machine learning systems What you'll need to succeed Strong experience in MLOps or ML Engineering roles Proven experience with Docker and Kubernetes (containerisation) Hands-on experience with AWS and/or GCP cloud environments Solid Scripting skills in Python and Bash/Linux Experience building CI/CD pipelines using GitLab (YAML) Understanding of DevSecOps principles and tooling Exposure to ML life cycle tools such as MLflow and Airflow Ability to work in highly secure or air-gapped environments Strong problem-solving and collaboration skills What you'll get in return Opportunity to work on cutting-edge ML and AI initiatives Exposure to secure government programmes and advanced environments Competitive day rate up to £537 per day Hybrid working model with flexibility Long-term potential within a major consultancy client Important information SC Clearance is required (additional MOD vetting will apply and may extend onboarding timelines) This role is PAYE via Umbrella only (inside IR35) What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.

Data Scientist (ML Engineer) Salary: £49,387 - £56,515 per annum Location: Manchester Vacancy Type: Permanent Closing date: 18/06/2026 The National Institute for Health and Care Excellence (NICE) is the independent organisation responsible for providing national guidance and advice on promoting high quality health, public health and social care. We have modern offices in Manchester city centre and Stratford, London. Please take into consideration that you may be required to commute to one of our offices for business purposes if necessary. Job overview Do you want to do meaningful work that makes a genuine difference to society? Our main purpose here at The National Institute for Health and Care Excellence (NICE) is to improve health and wellbeing by putting science and evidence at the heart of health and care decision-making. As an organisation we all collaborate to achieve this goal by empowering our workforce to do great things! Please note that this role may not be eligible for sponsorship under the Skilled Worker route. Please refer to the DirectGov website for more information on eligibility. We reserve the right to close the advert early should we receive sufficient applications, so please don t delay your submission. Main duties of the job We re looking for a Data Scientist (ML Engineer) to help NICE apply machine learning and advanced analytics to real world health and care challenges. Working within the Architecture & Data team, you ll design, build and deploy robust machine learning solutions that support evidence based decision making, improve data practices, and enable the responsible use of AI across the organisation. You ll combine strong technical expertise with clear communication, ethical awareness and a collaborative mindset to turn complex data into meaningful insight. What you ll do and bring to the role Design, build and deploy scalable machine learning models and pipelines, from data preparation through to monitoring and optimisation in production. Apply advanced analytical, statistical and machine learning techniques to solve complex business problems and support organisational priorities. Ensure all work meets high standards for data governance, ethics, privacy and security, championing responsible and transparent use of AI. Collaborate closely with data scientists, engineers and stakeholders to translate business needs into effective technical solutions. Evaluate model performance and outcomes, continuously improving models, data quality and analytical approaches. Contribute to building machine learning and AI capability across NICE through technical leadership, knowledge sharing, and support to colleagues. Person specification Essential: Holds highly developed specialist knowledge and expertise acquired through a master s degree level or equivalent qualification/experience. Additionally, holds specialist knowledge of the relevant area(s) of expertise as outlined in the person specification, acquired through relevant practical experience and training/development. Extensive hands on experience designing, building and deploying machine learning and AI solutions, with the ability to select appropriate techniques and evaluate model performance critically. Strong programming and data engineering capability, including writing complex code, working with large and complex datasets, and collaborating closely with data engineers and data scientists to deliver robust analytical products. Advanced knowledge of applied mathematics, statistics, and numerical analysis, with experience using techniques such as optimisation, time series analysis, simulation or predictive modelling to generate insight and support decision making. Excellent communication skills, with experience presenting analytical outputs clearly to both technical and non technical audiences and working effectively within multidisciplinary teams. Desirable: Artificial intelligence certification. Working for our organisation The Architecture & Data team sits at the heart of NICE s digital transformation, setting the direction for how data, analytics and architecture are used across the organisation. As a centre of excellence, the team defines standards, embeds strong data governance, and enables high-quality, impactful delivery. Working closely with teams across NICE, it supports responsible innovation and ensures data is used effectively to improve health and care outcomes. We can offer you a great place to work with good benefits, flexible working, and a supportive, friendly, and inclusive environment. We are passionate and proud of the work we do and the impact we make. NICE offer: Generous NHS Pension Secure your future with one of the most rewarding pension schemes in the UK Flexible working Enjoy a healthy work-life balance with options like remote working, compressed hours and flexible start/finish times Exclusive discounts Save on shopping, dining and more with a Blue Light Card Time to recharge Start with 27 days annual leave plus bank holidays Inclusive staff networks Join supportive communities like Women in NICE, Race Equality Network, Disability Advocacy and NICE and Proud we celebrate diversity Tailored development Grow your career with personalised learning and development opportunities If you feel this is the type of environment you will enjoy working in, apply today! To Apply If you feel you are a suitable candidate and would like to work for The National Institute for Health and Care Excellence (NICE), please click apply to be redirected to our website to complete your application.

Job Title: Service Designer Location: London - 25 Gresham Street - Hybrid Contract Type: Initial 6-month contract (extendable) Role Overview We are seeking an experienced and innovative Service Designer to join a team delivering next-generation Conversational AI capabilities. This role will play a key part in shaping user-centred AI-powered services, working across discovery, design, refinement, and implementation phases. The successful candidate will combine strong design thinking with strategic problem-solving skills and will be comfortable working in multidisciplinary teams alongside Data Scientists, Engineers, Product teams, and business stakeholders. This is an opportunity to influence the future direction of AI-enabled customer and colleague experiences through service design excellence. Key Responsibilities Lead service design activities across the full project lifecycle, from discovery through to refinement and delivery. Shape and define complex problems, translating business and user needs into actionable service design solutions. Support the development of Conversational AI capabilities, ensuring services are intuitive, effective, and user-centred. Facilitate workshops, design sessions, and collaborative working groups to drive alignment and decision-making. Work closely with Data Science and Engineering teams to design feasible and scalable AI-enabled services. Create service blueprints, user journeys, process maps, and other service design artefacts. Identify opportunities for innovation and continuous improvement within AI-driven experiences. Engage with stakeholders at all levels, building strong relationships and securing buy-in for design recommendations. Apply strategic thinking to balance user needs, business objectives, and technical constraints. Contribute to pathfinding activities, helping define future service directions and opportunities. Required Skills & Experience Proven experience working as a Service Designer within complex transformation, digital, or innovation programmes. Strong design thinking capability with the ability to challenge assumptions and think creatively. Experience leading discovery, problem definition, and service refinement activities. Excellent workshop facilitation and stakeholder management skills. Ability to collaborate effectively with technical teams, particularly Data Science and Engineering functions. Experience producing service design artefacts including user journeys, service blueprints, and ecosystem maps. Strong communication and influencing skills. Strategic mindset with the ability to connect tactical delivery with longer-term outcomes. Desirable Experience Experience working on Conversational AI, Generative AI, virtual assistants, chatbots, or related AI-powered services. Understanding of AI product development methodologies and user-centred design principles in AI environments. Experience working in highly regulated or enterprise-scale organisations. Curiosity and enthusiasm for emerging AI technologies and their practical application. Personal Attributes Creative and able to think beyond conventional solutions. Naturally curious, particularly regarding AI and emerging technologies. Collaborative and comfortable working across multidisciplinary teams. Confident facilitator and communicator. Pragmatic problem solver with strong analytical thinking. User-focused with a passion for improving service experiences. Project Context The role will support a programme focused on building and enhancing Conversational AI capabilities. The Service Designer will help define the future service experience, working closely with technical and business teams to identify opportunities, shape solutions, and ensure successful delivery of user-centred AI services. TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.

Job Title: Lead Data Scientist Salary: London: £60,670 - £67,500 / National: £57,670 - £64,500. Contract Type: Permanent Working Pattern: This post is available on a full-time, part-time or job-share basis, and flexible working hours can be accommodated. Location: London. Any applicants who are already NISTA staff can also apply to be based from their existing locations in Birmingham (23 Stephenson Street), or Leeds (2 Whitehall Quay). About the Team Are you looking for an exciting opportunity to join a friendly and ambitious team who are always finding new ways to drive better use of data, right in the heart of central government? The NISTA Data & Insight Team brings together data scientists, engineers, analysts and digital professionals who genuinely care about learning from each other, sharing ideas and making things happen. Together we turn rich, high-value project data into analysis, insights and tools that support people across government, from project delivery teams to senior leaders in HMT, the Cabinet Office and No10, to make decisions that shape how the UK delivers its biggest and most complex projects. Working with the Government Major Projects Portfolio, the 10 year Infrastructure Pipeline and other project delivery data, your work will directly influence how major programmes are planned, delivered and improved. Over the last two years, the team has undergone a significant transformation, digitising large-scale project data collection and overhauling our digital and data infrastructure. This enables us to create high-impact dashboards and analytics as well as drive the development of AI tools. It means we can develop and share quickly, resulting in rapid iterative development with our users. And we continue to evolve, improve our capability and develop our skills. In this role, you'll be joining a supportive, inclusive and collaborative environment, where you can grow your skills, tackle meaningful challenges and make a real impact on the future of government delivery. About the Job The Lead Data Scientist is a key management role within NISTA Data and Insight team. You will balance technical expertise with leadership and communication skills, to develop bespoke data science products to be used across NISTA, HM Treasury and the wider UK government. Working in close partnership with others in NISTA's Data and Insight management team, you will help shape the direction for how we use data, generate insight and develop AI enabled capabilities. In this role you will: Lead our Insight Workstream Maintaining, developing and deploying a range of data science products (including Python Plotly Dash apps, Next.js apps and advanced analytical (ML and AI) tools) on our cloud-based technology stack (AWS) Finding new opportunities to create value for the organisation and identifying emerging technologies to develop new products Building and maintaining positive relationships with a range of partners, including colleagues across multiple departments, to embed user-centric data science products Work to expand and develop our advanced analytical offering for Project Delivery Function, including building and embedding advanced AI tools across government Provide guidance to team members on best practices in coding, analysis, and usage of data, including use of Git for version control and Data Engineering principles Be an excellent line manager, with the ability to motivate people to deliver and perform at their best even in challenging circumstances Foster a culture of experimentation and learning, working with others in the management team to drive our Innovation workstream e.g. hackathons and innovation days Champion the role of data, digital and analysis in supporting organisational priorities and communicating data science outputs confidently to senior leaders and ministers About You We are seeking people who: Have the ability to produce high-quality code in at least one language (e.g. Python) Have experience working with a cloud computing platform (e.g. AWS) Have experience leading data science projects to solve problems creatively. Have the ability to translate complex analysis into insights to communicate to non-technical audiences to achieve impact Some of the Benefits our people love! 25 days annual leave (rising to 30 after 5 years), plus 8 public holidays and the King's birthday (unless you have a legacy arrangement as an existing Civil Servant). Additionally, we operate flexitime systems, allowing employees to take up to an additional 2 days off each month Flexible working patterns (part-time, job-share, condensed hours) Generous parental and adoption leave packages Access to a generous Defined Benefit pension scheme with employer contributions of 28.97% Access to a cycle-to-work salary sacrifice scheme and season ticket advances A range of active staff networks, based around interests (e.g. analysts, music society, sports and social club) and diversity For more information about the role and how to apply, please follow the apply link. If you need any reasonable adjustments to take part in the selection process, please tell us about this in your online application form, or speak to the recruitment team at .

Lead Data Scientist - Farnborough - Outside IR - 650 P/Day - Hybrid A growing technology organisation operating within highly secure environments is looking to hire a Lead Data Scientist to lead Data Science processes and GenAI deployment across complex programmes. As a Lead Data Scientist, you'll play a key role in designing, developing, and deploying advanced AI systems, with a particular focus on Generative AI and Large Language Models (LLMs). You'll work across complex datasets and emerging technologies to create scalable, repeatable, and production-ready solutions. You'll collaborate with engineering and technical leadership teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related AI frameworks Build and optimise graph databases to support intelligent data relationships and retrieval Design and implement MCP servers and supporting AI infrastructure Select and apply appropriate machine learning techniques to achieve repeatable and measurable outcomes Contribute to AI architecture decisions, experimentation strategies, and technical roadmaps Work closely with engineers, architects, and stakeholders within secure environments Support optimisation problems and solver-based approaches where required Experience Required Strong hands-on experience building AI models and machine learning solutions Commercial experience with: Large Language Models (LLMs) Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature of the opportunity and business, applicants need active SC Clearance. Lead Data Scientist- Farnborough - Outside IR - 650 P/Day

Analytical Development Scientist Are you passionate about pushing the boundaries of analytical chemistry? Do you thrive in a dynamic environment where innovation meets precision? If so, we want you to join our team as an Analytical Development Scientist ! Role Purpose: As an Analytical Development Scientist, you will play a pivotal role in enhancing our manufacturing processes for both new and existing products. Your expertise will drive improvements through in-depth measurement science, ensuring we meet our business targets while maintaining the highest standards of quality and safety. Key Responsibilities: Collaborate with internal and external partners to deliver cutting-edge analytical solutions for process development and manufacturing support. Stay ahead of scientific advancements and proactively apply them to your projects. Plan and conduct non-routine chemical and physical analyses to support the development and manufacturing of processes. Provide expert laboratory support in Analytical Chemistry to local and global teams. Mentor and develop fellow scientists in analytical techniques and best practices. Champion safety and compliance, improving ways of working with our Departmental Safety Leadership teams. Maintain accurate records and communicate findings in line with regulatory requirements. What You Bring: We are looking for candidates with a combination of education, experience, and skills: A degree (BSc, MSc, or equivalent) in Chemistry or Analytical Chemistry with a strong track record in analytical method development. Comprehensive knowledge of chemical and physical analytical techniques (e.g., LC, GC, MS, NMR, FTIR) and critical data analysis. Substantial experience in manufacturing support activities, including process monitoring and data analysis. Strong problem-solving abilities, effective communication skills, and a knack for networking. A proactive approach to learning and applying new skills, with the ability to handle complex situations. Key Challenges: In your first year, you will face exciting challenges, including: Supporting the delivery of workgroup targets effectively. Maximising the information gained from activities to enhance our knowledge base. Understanding how your contributions align with our organizational strategy. Why Join Us? Be part of an open and collaborative culture where sharing knowledge is encouraged. Work on innovative projects that push the boundaries of analytical science. Enjoy a supportive environment that values your contributions and promotes professional growth. Apply Now! If you're excited about this opportunity, please submit your application today!

Lead Data Scientist Cardiff / Remote AI, Machine Learning & Data Science Leadership We're partnering with a global B2B SaaS organisation that is making significant investment in AI and Data Science as part of its next phase of growth. This is an opportunity for an experienced Lead Data Scientist to step into a high-impact leadership role, helping to build and shape a growing Data Science function while remaining hands-on with cutting-edge AI and machine learning initiatives. You'll work closely with senior leadership to define the technical direction of Data Science, influence product innovation and lead the development of production-grade machine learning solutions that deliver measurable business value. Why this role stands out: Lead and grow a newly expanding Data Science capability Shape the future AI strategy within a business heavily investing in machine learning and generative AI Drive innovation across predictive analytics, NLP and LLM-powered products Enjoy genuine influence over technical direction, tooling and best practice Work on highly visible projects with direct commercial impact Remote-first environment with strong backing from leadership What you'll be doing: Leading technical decision making across the Data Science function Designing, building and deploying machine learning models into production Driving NLP, Generative AI and LLM initiatives Partnering with Engineering, Product and Operations teams to solve complex business challenges Mentoring and developing a growing team of Data Scientists Establishing best practice across model development, governance and MLOps Tech Stack Python SQL TensorFlow PyTorch AWS Azure SageMaker NLP LLMs MLOps What we're looking for: Strong commercial Data Science and Machine Learning experience Experience leading teams or acting as a technical lead within a Data Science function Strong knowledge of cloud platforms and ML deployment Experience delivering production-ready AI solutions Excellent stakeholder management and communication skills The Opportunity This is more than a traditional Lead Data Scientist position. It's a chance to join at a pivotal stage of growth and play a key role in building the next generation of AI capability within a global technology business. If you're excited by the prospect of leading a team, influencing AI strategy and working on innovative machine learning and LLM projects that make a real difference, we'd love to hear from you.

Analytical Development Scientist Are you passionate about pushing the boundaries of analytical chemistry? Do you thrive in a dynamic environment where innovation meets precision? If so, we want you to join our team as an Analytical Development Scientist ! Role Purpose: As an Analytical Development Scientist, you will play a pivotal role in enhancing our manufacturing processes for both new and existing products. Your expertise will drive improvements through in-depth measurement science, ensuring we meet our business targets while maintaining the highest standards of quality and safety. Key Responsibilities: Collaborate with internal and external partners to deliver cutting-edge analytical solutions for process development and manufacturing support. Stay ahead of scientific advancements and proactively apply them to your projects. Plan and conduct non-routine chemical and physical analyses to support the development and manufacturing of processes. Provide expert laboratory support in Analytical Chemistry to local and global teams. Mentor and develop fellow scientists in analytical techniques and best practices. Champion safety and compliance, improving ways of working with our Departmental Safety Leadership teams. Maintain accurate records and communicate findings in line with regulatory requirements. What You Bring: We are looking for candidates with a combination of education, experience, and skills: A degree (BSc, MSc, or equivalent) in Chemistry or Analytical Chemistry with a strong track record in analytical method development. Comprehensive knowledge of chemical and physical analytical techniques (eg, LC, GC, MS, NMR, FTIR) and critical data analysis. Substantial experience in manufacturing support activities, including process monitoring and data analysis. Strong problem-solving abilities, effective communication skills, and a knack for networking. A proactive approach to learning and applying new skills, with the ability to handle complex situations. Key Challenges: In your first year, you will face exciting challenges, including: Supporting the delivery of workgroup targets effectively. Maximising the information gained from activities to enhance our knowledge base. Understanding how your contributions align with our organizational strategy. Why Join Us? Be part of an open and collaborative culture where sharing knowledge is encouraged. Work on innovative projects that push the boundaries of analytical science. Enjoy a supportive environment that values your contributions and promotes professional growth. Apply Now! If you're excited about this opportunity, please submit your application today!