469 jobs found

Lead Data Scientist My client is a fast-growing UK FinTech business serving thousands of customers. They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. This is a hands-on leadership role combining technical ownership, team development, and production-grade model deployment. The Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions - from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build and deploy models using Python, SQL, and AWS (SageMaker or equivalent) Partner closely with Engineering, Data, and Risk/Financial Crime teams to ensure robust, production-ready solutions Establish monitoring frameworks for performance, drift, and retraining Drive clear documentation, traceability, and governance appropriate for a regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely with Engineering/Data teams in production-first environments Comfortable operating within regulated industries Desirable AWS experience (S3, Athena/Glue, IAM, Lambda) SageMaker or equivalent ML platform experience Financial services domain knowledge (risk, fraud, affordability, payments) Experience with model explainability and governance documentation Package & Benefits Hybrid working model Competitive pension Additional paid leave (birthday, charity, wellbeing, life events) Employee assistance programme & Virtual GP Modern collaborative office environment Interested? Please Click Apply Now! Lead Data Scientist

Python Developer / Backend Software Engineer (Python R&D) Cambridge onsite to £55k Would you like to work on Greenfield projects at the cutting edge of medical technology? You could be joining a well funded start-up, collaborating with scientists and other engineers to develop sensing and imaging terahertz solutions. As a Python Developer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly evolving technology that you'll be able to influence. Location: You'll join a talented team based just north of Cambridge (with parking available), on a fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle You have a good understanding of TDD, CI/CD practices and modern software engineering best practices You have experience with embedded software and / or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior engineers Ideally you will also have experience with some of the following: Anaconda, Mamba, Poetry, C++, JavaScript, Haskell, OCaml, Rust What's in it for you: As a Python Developer you will receive a competitive package: Salary to £55k Bonus Healthcare Pension Continual learning and self development Complex interesting work at the cutting edge of technology Apply now to find out more about this Python Developer / Backend Software Engineer (Python R&D TDD) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Azure Data Architect Position Description At CGI, we architect secure, future-ready Azure data platforms that unlock insight and accelerate transformation across the UK's most vital sectors. As an Azure Data Architect, you will take ownership of shaping scalable, resilient data ecosystems that turn complex information into measurable business value. Working closely with clients and multidisciplinary delivery teams, you will define enterprise data strategies, influence cloud roadmaps, and embed best practice across modern Azure environments. Within a collaborative and supportive community, you will have the autonomy to innovate, strengthen governance, and drive high-impact outcomes - helping organisations harness data as a true strategic asset. 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. This is a hybrid position based out of Newcastle. Your future duties and responsibilities In this role, you will lead the end-to-end design and delivery of Azure-based data architectures across complex client programmes. You will define enterprise data strategies, design scalable data models and pipelines, and ensure solutions align with governance, security, and performance standards. By collaborating closely with architects, engineers, and business stakeholders, you will translate organisational objectives into secure, high-performing Azure data platforms. You will also influence cloud strategy, embed DevOps practices for data engineering, and support business growth through pre-sales and technical leadership. Through mentoring and community engagement, you will strengthen data capability while continuously improving architectural standards and innovation across engagements. Key responsibilities: Define & Drive enterprise data architecture strategies aligned to business outcomes Design & Deliver end-to-end Azure data solutions using services such as Azure SQL, Data Factory, Data Lake, Cosmos DB, and Power BI Model & Optimise scalable data structures, pipelines, and performance tuning Secure & Govern data platforms in line with compliance and security standards Embed & Automate DevOps practices, including CI/CD for data pipelines Collaborate & Influence stakeholders through workshops and architectural governance Mentor & Elevate data engineers and architects, strengthening capability Shape & Support proposals, innovation initiatives, and cloud roadmaps Required qualifications to be successful in this role You will bring extensive experience designing and delivering Azure data architectures within enterprise environments. You combine strong technical depth in data modelling and cloud services with strategic thinking, stakeholder engagement skills, and a focus on delivering measurable value. You are confident guiding multidisciplinary teams and balancing innovation with governance and operational resilience. You should have: Proven experience as a Data Architect with strong knowledge of data modelling and database design principles Hands-on expertise with Azure data services such as Azure SQL Database, Azure Data Factory, Azure Data Lake, Cosmos DB, and Power BI Experience designing scalable, high-performance data architectures and optimising pipelines Strong understanding of data governance, security, and compliance practices in Azure Knowledge of Azure deployment models (IaaS, PaaS, SaaS) and identity and access management Experience collaborating with delivery teams and influencing technical direction It would be advantageous to have: Azure Solutions Architect Expert or Azure Data Engineer Associate certification Azure Data Scientist or Azure AI Engineer Associate certification A degree in Computer Science, Information Technology, or equivalent professional experience 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.

Data Architect Position Description At CGI, we help organisations turn data into decisive advantage. As a Data Architect, you will shape and lead data strategies that unlock measurable business value, reduce risk, and accelerate innovation across complex environments. Working at the intersection of business and technology, you will build trusted relationships with senior stakeholders, translating ambition into practical, high-impact solutions. You will play a pivotal role in defining what good looks like, driving modern, secure, and scalable data architectures that enable growth. Within our collaborative Delivery Centre, you'll take ownership of transformative initiatives, apply creative thinking to real-world challenges, and be supported to continually grow your expertise. 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 programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. Our teams operate within a flexible hybrid working model, however on-site requirements vary by project, so the ability to travel as required to meet client needs is essential. Your future duties and responsibilities In this role, you will lead advisory engagements that enable data-driven business transformation, working closely with senior business and technology stakeholders to align strategy, architecture, and delivery. You will take ownership of defining modern, secure, and scalable data solutions that drive revenue growth, reduce operational risk, and enhance decision-making. Collaborating with engineers, data scientists, and consulting teams, you will help shape new data and analytics offerings while ensuring solutions are robust, compliant, and aligned to organisational goals. You will operate across diverse programmes, bringing clarity to complexity and defining target operating models that embed strong governance, innovation, and long-term value. With the backing of a collaborative practice, you will be empowered to influence strategy, validate complex designs, and set the standard for excellence in data architecture. Key responsibilities: • Lead & Advise on data-enabled business change across complex client environments • Design & Deliver modern data architectures spanning cloud, AI, and analytics platforms • Align & Govern data strategies to organisational goals, risk frameworks, and compliance standards • Validate & Assure complex, high-integrity and business-critical solutions • Define & Implement target operating models for data organisations • Shape & Grow innovative data analytics offerings within the practice • Manage & Mitigate risk across technical reviews and large-scale data engagements Required qualifications to be successful in this role To succeed, you will bring strong experience designing and leading data architecture strategies across multi-cloud environments, with a clear understanding of governance, risk, and security in data management. You will combine technical depth with commercial awareness, confidently translating complex architecture into business value. Experience with AI-enabled solutions and modern data platforms will be key, alongside the ability to influence senior stakeholders and lead across diverse programmes. Essential qualifications and experience: • You should have demonstrable experience across multiple cloud platforms, particularly multi-cloud environments • Strong proficiency in modern data architecture, including data modelling, warehouses and lakehouses (e.g. delta tables and change management) • Proven experience designing solutions using AI technologies such as OpenAI, Bedrock or Claude • Experience with low-code platforms and document management systems, such as Power Platform and SharePoint • Strong understanding of data governance, operational security, and risk management frameworks • Proven ability to validate and assure complex, business-critical technical solutions Desirable: • Understanding of TOGAF or related architectural principles, with experience translating logical designs into physical implementations • Knowledge of DAMA-DMBOK data management and governance principles 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.

Data Scientist Position Description Data Scientist (Energy) drives the development and delivery of cutting-edge solutions that strengthen the performance and resilience of electricity networks. Operating at the intersection of engineering, data science, and applied research, the role focuses on identifying operational challenges in the energy sector and transforming emerging technologies into practical, real-world applications. This position works collaboratively with Distribution Network Operators (DNOs), universities, research partners, and internal teams to explore innovation opportunities and co-develop impactful solutions. The engineer contributes technical expertise to data-driven initiatives, shaping models, algorithms, and analytical approaches that support decision-making and innovation outcomes. They play a hands-on role throughout the lifecycle of innovation projects, from early idea generation and feasibility assessment through to prototyping, testing, and deployment. Strong communication and collaboration skills are essential, as the role interfaces with engineering, product, consulting, and business stakeholders to design and refine technical solutions that meet sector needs. The ideal candidate brings deep knowledge of energy systems, experience with AI/ML technologies, and strong programming capabilities. Qualifications & Experience: . Experience within the energy sector, ideally focused on electricity networks or smart grids . Experience applying AI/ML technologies in engineering or operational settings . Strong Python programming skills and familiarity with data analysis, machine learning, or simulation frameworks . Ability to collaborate effectively in multidisciplinary teams and explain complex technical concepts to diverse audiences Key Duties & Responsibilities . Work closely with DNOs to understand operational challenges, explore innovation opportunities, and co-develop solutions that enhance network performance and resilience. . Partner with universities and research institutions to translate emerging technologies and scientific advancements into practical, real-world applications. . Contribute technical expertise to data-driven projects, helping shape models, algorithms, and analytical approaches that drive innovation outcomes. . Communicate effectively with engineering, product, consulting, and business teams to design, refine, and deliver technical solutions. . Support the full lifecycle of innovation projects, from idea generation and feasibility analysis to prototyping, testing, and deployment. Your future duties and responsibilities In this role, you will work at the intersection of data science, engineering, and applied research to design and deliver innovative solutions for electricity networks. You'll collaborate closely with Distribution Network Operators, research institutions, and internal teams to understand operational challenges and turn emerging technologies into practical, deployable solutions that drive resilience and performance. You'll contribute across the full innovation lifecycle, from early concept development and feasibility assessment through to prototyping, testing, and deployment. Supported by a collaborative environment, you'll be encouraged to take ownership of your ideas, apply creative problem-solving, and help shape data-driven approaches that influence real-world decision-making. Key responsibilities include: Collaborate & Discover - Work with DNOs to understand operational challenges and identify innovation opportunities Design & Deliver - Develop data-driven models, algorithms, and analytical approaches that support network optimisation Innovate & Translate - Partner with universities and research bodies to turn emerging technologies into applied solutions Communicate & Influence - Engage with engineering, product, consulting, and business teams to refine technical outcomes Prototype & Deploy - Support innovation projects from ideation through testing and real-world implementation Required qualifications to be successful in this role To succeed, you will bring strong experience in data science or AI applied within the energy sector, combined with the ability to collaborate across disciplines and communicate complex ideas clearly. You'll be comfortable applying advanced analytics in operational environments and motivated to turn insight into action. You should have: Experience working within the energy sector, ideally electricity networks or smart grids Experience applying AI/ML techniques in engineering or operational contexts Strong Python programming skills and experience with data analysis or machine learning frameworks Proven ability to collaborate within multidisciplinary teams and engage diverse stakeholders 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.

Data Engineers Position Description As a Senior Data Engineer, you will design and lead the implementation of data flows that link operational systems, analytics & BI platforms. You will be part of the Data Services team, which handles ingesting, storing, maintaining and exposing a variety of datasets. These datasets are used by analysts and data scientists to generate insights and support decision-making. The team is growing, and your role will involve bringing in new datasets, maintaining existing ones, and ensuring data is clean, accessible and high-quality Your future duties and responsibilities -Ingest new datasets as needed by the business. - Ensure all analytics-ready datasets are formatted clearly and meet high-quality standards. - Investigate and resolve any defects or discrepancies in the datasets. - Maintain the dataset catalogue and data dictionary so analysts/data scientists can easily find and use data. - Perform any other tasks that help ensure the datasets are coherent, well-maintained and available for end-users. Required qualifications to be successful in this role Communication - Engage effectively with both technical and non-technical stakeholders. - Lead discussions in multidisciplinary teams and handle differing viewpoints. - Represent and advocate for the Data Services team externally. - Data Analysis & Synthesis - Profile data and analyse source systems. - Present clear insights to support how data is used downstream. Data Development & Integration - Design, build and test large or complex data products. - Look for ways to improve data by providing "conformed" (standardised) datasets. - Choose and implement technologies that deliver resilient, scalable, future-proof data solutions. Data Modelling - Produce data models across multiple subject areas. - Explain the rationale behind choosing specific models. - Understand industry-recognised modelling standards and apply them appropriately. Metadata & Data Management - Ensure datasets are accompanied by appropriate metadata. - Know tools and practices for metadata storage and usage. - Oversee integrity, accessibility and searchability of data and metadata, and recommend improvements. Problem Resolution (Data) - Respond to problems in databases, data processes or data products as they arise. - Monitor services to identify trends and take preventative action. Programming / Build (Data Engineering) - Use agreed standards and tools to design, code, test, document and refactor moderate-to-complex programs and scripts. - Collaborate with others on specifications and reviews. Testing - Review requirements, define test conditions, identify risks and test issues. - Apply manual and automated testing as needed, analyse and report results. Technical Understanding & Innovation - Understand core technical concepts relevant to the role and apply them with guidance. - Stay aware of emerging trends, tools, techniques in data, and their impact on the organisation Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This position is available in Gloucester. 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.

Backend Software Engineer / Developer (Python Data ML) Remote UK to £75k Are you a data savvy Backend Software Engineer with strong Python experience? You could be progressing your career in as a hands-on Backend Software Engineer 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. What's in it for you: As a Backend Software Engineer / Developer you will receive a competitive package: Up to £75,000 salary Flexible / remote working including flexible working hours Ability to work 30 days from any EU country Diverse, inclusive team environment with a range of support networks (e.g. LGBTIQA+, Women's Networking group) Your role: As a Backend Software Engineer you will play a key role in building the foundational platforms that enable Machine Learning at scale across all countries where the company operates. You'll design and develop reliable systems and shared capabilities that support the full ML lifecycle, from experimentation to production, taking a lead role in developing platform tools, shared services and infrastructure. Collaborating closely with product managers and stakeholders, including data scientists and ML engineers, you'll help to support the full ML lifecycle, from experimentation and training to deployment and monitoring, continuously learning and stay up to date with emerging technologies, tools and industry trends to ensure the platform remains robust and future-proof. There's a supportive, diverse environment where you'll have your voice heard. Location / WFH: The company is a big advocate of flexible working and prides itself on DEI; you can work from home anywhere in the UK; you can also work at times that suit you. About you: You have strong Python backend development skills You have a deep knowledge of software design principles and architecture You have experience of working with Machine Learning models and workflows in production environments You have a good knowledge of software development practices like TDD and BDD, ensuring code is marked by quality, readability and maintainability You have a good working knowledge of CI/CD, IaC, containerisation technologies You have experience of working with messaging / streaming platforms (e.g. Kafka, RabbitMQ) and designing relational databases (e.g., MySQL, PostgreSQL) You're proficient with cloud-based systems (preferably AWS) You're collaborative and pragmatic with great communication skills Apply now to find out more about this Backend Software Engineer / Developer (Python Data ML) opportunity.

Location Leeds About the job Job summary We are currently looking for a Lead Data Architect to join our Strategy and Architecture Function within the Digital and Technology Group . This is a full-time opportunity, on a permanent basis. The role will be based in 7-8 Wellington Place, Leeds. Government departments and agencies are working towards implementing a minimum 60% attendance in office sites. We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role, this can flex up to 12 days a month, with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly. Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Digital and Technology Group (DTG) lies at the heart of the Agency and is responsible for delivering an optimised IT infrastructure and maximising the secure use of data to enable our scientists, inspectors, and the rest of the organisation to deliver world class services which can improve outcomes for patients and the general public. The Group was essential in the race to approve COVID-19 vaccines in 2020 and in supporting the UK to set up its own medicines and devices approvals systems following our exit from the EU. The work we do matters! Its centre of excellence is also responsible for delivering a broad portfolio of change initiatives, both to transform the Agency's legacy technologies and to deliver innovative new solutions, designed around our customers' needs. DTG works in a holistic way to combine digital and technology change, data and information management, project delivery, business process, product management and cultural change to maximise out impact and ensure sustainability. We plan to be at the heart of one of the most digitally advanced medical regulators in the world and we need people who can help us deliver that ambition. DTG is a great place to build your career and we are committed to enabling our people to do the best work of their lives. Job description The Strategy & Architecture team is responsible for ensuring that DTG service provision supports the delivery of the Agency's strategy and Corporate Delivery Plan including meeting MHRA's financial and performance targets and delivery objectives. The team is responsible for providing digital, data and technology design assurance to ensure proposed solutions are compliant with legislation, standards and Government policy. As a Lead Data Architect , you will play a vital role in designing and governing the enterprise data architecture to support regulatory, scientific, and operational functions. This is an exciting opportunity to work on data-focused products and services in a complex digital environment, supporting major initiatives across MHRA. In this role, you'll work across multiple projects, applying broad architectural thinking to design data models, metadata systems, and data dictionaries. You'll provide oversight and guidance to teams and projects, ensuring standards are met and solutions align with organisational principles. You'll also work closely with technical architects to make sure systems are designed in accordance with the appropriate data architecture. This role demands a strategic thinker with deep technical expertise, strong analytical skills, and the ability to collaborate with multiple stakeholders to create a cohesive data architecture that meets the department's current and future needs. Key responsibilities: Data Architecture Design Demonstrate expertise in data architecture including design of data platforms, modelling techniques, patterns, tools, and standards. Experienced in presenting data architecture designs to technical governance forums, ensuring alignment with organisational standards and strategic objectives. Data Governance and Standards Skilled in data modelling, master data management (MDM), metadata management, and data governance to ensure consistency, quality, and compliance across the enterprise. Ensure solutions adhere to government policies such as the Data Protection Act, GDPR, and the Technology Code of Practice. Alignment to emerging global data standards Data Integration and Management Experienced in designing data integration services to ensure seamless data flow across various systems and platforms, including legacy systems, cloud environments, and third-party applications. Develop and maintain data lineage and metadata management practices to provide transparency and control over data assets. Strategic Technology Leadership Proven ability to shape and support technology initiatives, projects, programmes, and portfolios, ensuring architectural integrity and alignment with organisational goals. Key Results High-Quality, Reusable Data Assets Enterprise data models, metadata, and standards are well-governed, up-to-date, and widely adopted by delivery teams. Data is consistently structured and reusable across multiple services, reducing duplication and integration costs Improved Data Quality and Interoperability Improvements in departmental data quality - scores, completeness, and consistency. Increased interoperability between internal and cross government systems, enabling more efficient service delivery. Robust, Scalable Data Architecture for New Services New digital services and transformation projects implement approved data patterns, meeting architectural and compliance requirements. Data platforms are scalable, secure, and aligned with the department's enterprise architecture . Strong Governance and Reduced Risk Reduced data-related risks through strong architecture assurance, improved governance, and adherence to privacy and security policies. Clear data ownership and stewardship embedded across business areas. Strategic Value from Data Data is used effectively to inform strategic planning, operational reporting, and advanced analytics. Stakeholders recognise the Data Architecture function as a trusted, enabling partner. Person specification Our successful candidate will demonstrate the following. Extensive experience working as a Data Architect within large or complex organisations, contributing to multi team or multi programme delivery working from early discovery through to live services, supporting projects and products at different stages of maturity. Experience advising senior stakeholders, influencing design decisions, and balancing trade offs between business needs, cost, risk, and technical constraints. Desirable: Experience delivering data solutions in environments with strong regulatory, privacy, or security requirements (e.g. public sector, health). Person Specification: Method of assessment: A=Application, T=Test, I=Interview, P=Presentation Behaviour Criteria: Leadership (I) Making Effective Decisions (I) Working Together (I) Communicating and Influencing (I) Experience Criteria: Extensive experience working as a Data Architect within large or complex organisations, contributing to multi team or multi programme delivery working from early discovery through to live services, supporting projects and products at different stages of maturity. (A, I) Experience advising senior stakeholders, influencing design decisions, and balancing trade offs between business needs, cost, risk, and technical constraints. (A, I) Desirable: Experience delivering data solutions in environments with strong regulatory, privacy, or security requirements (e.g. public sector, health). (A) Technical Criteria: Strong understanding of data modelling techniques (conceptual, logical, physical) and how they are applied to enterprise and solution architectures. (A) Knowledge of common integration patterns, including APIs, messaging, batch and event driven data flows, and how these support interoperability (A) Understanding of data governance principles, including metadata, lineage, data quality, ownership, and lifecycle management. (A, P) Knowledge of modern data platform components (e.g. cloud data services, data lakes/warehouses, MDM, analytics layers) and how they fit together architecturally. (A, P) Desirable Knowledge of FHIR and HL7 standards. (A) Degree level or a minimum of 3 years of professional experience. (A)

Location Canary Wharf or South Mimms, Hertfordshire About the job Job summary We are currently looking for an Infrastructure Engineer (EuC and telephony) to join our Technology & Services Operations Function within the Digital and Technology group. This is a full-time opportunity, on a permanent basis. The role will be based in 10 South Colonnade, Canary Wharf London, E14 4PU or South Mimms, Hertfordshire. Please be aware that this role can only be worked in the UK and not overseas. Government departments and agencies are working towards implementing a minimum 60% attendance in office sites. We are currently implementing a flexible, hybrid way of working, with a minimum of 8 days per month working on site to enable the collaboration and contact with partners and stakeholders needed to deliver MHRA business. Attendance on site is driven by business needs so depending on the nature of the role, this can flex up to 12 days a month, with the remainder of time worked either remotely or in the office. Some roles will need to be on site more regularly. This role will also be required to participate in the Agency's out of hours on-call rota on a periodic basis. An on-call payment will be added to the salary depending on the frequency of participation in the rota. A Digital Allowance of up to £12,823 per annum may be available for exceptional candidates based on our assessment of your skills and experience. This allowance is non-pensionable and may change on an annual basis. Job description Who are we? The Medicines and Healthcare products Regulatory Agency enhance and improve the health of millions of people every day through the effective regulation of medicines and medical devices, underpinned by science and research. The Digital and Technology Group (D&T) lies at the heart of the Agency and is responsible for delivering an optimised IT infrastructure and maximising the secure use of data to enable our scientists, inspectors, and the rest of the organisation to deliver world class services which can improve outcomes for patients and the general public. The Group was essential in the race to approve COVID-19 vaccines in 2020 and in supporting the UK to set up its own medicines and devices approvals systems following our exit from the EU. The work we do matters! We plan to be at the heart of one of the most digitally advanced medical regulators in the world and we need people who can help us deliver that ambition. D&T is a great place to build your career and we are committed to enabling our people to do the best work of their lives. The Technology & Service Operations function is responsible for managing the existing IT infrastructure including both software and hardware, databases, and other technology platforms; leading the support and maintenance of applications; development and testing of new applications and platforms; and cyber and information security for the Agency. What's the role? The Infrastructure Engineer will be responsible for assisting in the management and delivery of infrastructure projects and business-as-usual (BAU) tasks, focusing primarily on our End User Compute (EuC) and telephony infrastructure. This role is vital for maintaining the stability, performance, and security of the Infrastructure as the MHRA undertakes a significant overhaul of its IT infrastructure, including the deployment of new equipment. The successful candidate will apply their technical expertise in core Infrastructure technologies to support day-to-day operations. You will collaborate with other engineers to troubleshoot and resolve issues, contributing to continuous improvement initiatives. The role involves working closely with cross-functional teams to ensure that infrastructure activities align with overall IT strategy and operational objectives. An on-call component is required, as this role involves providing support for critical issues outside regular working hours, ensuring minimal disruption to services. Person specification Key responsibilities: Leadership and Escalation: Lead and manage the successful execution of EuC and telephony projects, ensuring that tasks are completed on time and within scope while supporting the MHRA's IT strategy. Serve as the main escalation point for junior engineers, providing advanced troubleshooting and technical expertise in resolving complex EuC and telephony issues, ensuring high-quality resolutions that prevent future incidents. Mentor and support junior engineers, fostering a collaborative environment and encouraging skills development across the team. Infrastructure Stability, Security, and Performance: Take ownership of the overall stability, performance, and security of our IT Infrastructure, which includes assisting in the management of data centre services such as blade systems, virtualisation platforms, servers, Storage, Backup and power systems. Implement and maintain robust security protocols to safeguard the infrastructure, ensuring compliance with security policies and regulatory requirements. Proactively monitor and assess core network performance, identifying potential risks or weaknesses and applying pre-emptive solutions to minimize downtime and service disruptions. Play a pivotal role in the agency's ongoing IT infrastructure overhaul by recommending, testing, and integrating cutting-edge infrastructure technologies. Collaboration and Stakeholder Management: Work closely with project teams, and other IT functions to ensure alignment of strategies with the overall IT infrastructure roadmap. Build productive relationships with external vendors, supporting the assessment of their services and products to meet the agency's performance and security expectations. Communicate project progress and EuC and telephony performance with team members to ensure that business requirements are consistently met. Business-as-Usual (BAU) Operations: Have a strong understanding of ITIL, including configuration, troubleshooting, and maintenance of Infrastructure components, ensuring smooth and uninterrupted service operations On-Call and Incident Management: Participate in the on-call rota, providing support for critical issues, and ensuring prompt response times to minimize business impact. Assist in incident response during escalations, supporting timely communication with key stakeholders and contributing to quick resolution. Learn from post-incident reports to understand preventive measures and support continuous improvement in incident management processes. Who are we looking for? Our successful candidate will have: Hands-on experience with troubleshooting EuC and telephony performance issues and integrating new equipment within an existing IT architecture. Experience in supporting Infrastructure operations, particularly in EuC and telephony technologies such as Intune and Autopilot. Technical knowledge of Infrastructure technologies, including an understanding of maintain laptop builds, patching management, application deployment technologies, remote management and diagnostics as well as Microsoft teams calling Proven experience in troubleshooting and maintenance, including experience in configuring and managing EuC and telephony Infrastructure components. Understanding of industry standards and best practices related to EuC and telephony Infrastructure architecture and security, including Directory Services understanding (such as AD/EntraID, LDAP, etc). If you would like to find out more about this fantastic opportunity, please read our Job Description and Person Specification ! Please note: The job description may not open in some internet browsers. Please use Chrome or Microsoft Edge. If you have any issue viewing the job description, please contact

Location Bristol, London, Warrington For roles based in London, your contractual place of work will be Stratford. While the Stratford site is expected to become operational from November 2025 - March 2026, you will be required to carry out your contractual duties from Vauxhall or another reasonable location on a temporary basis during the interim period. Please note that, as Stratford will be your contractual place of work, any subsequent move from a temporary location will not entitle you to payments for travel time or costs under the Relocation and Excess Travel Policy. About the job Job summary Join the expanding National Data Exploitation Capability (NDEC), part of the National Crime Agency's Data and Analysis Hub,and help place data at the centre of the fight against serious and organised crime (SOC). NDEC delivers advanced analytical and exploitation capabilities that generate operational insight, inform strategic decision making, and provide a critical edge against increasingly technology driven threats. As a Lead Software Developer, you will play a key role in shaping and delivering high quality software solutions that unlock the value of complex and rapidly growing datasets. We are looking for proactive, inquisitive problem solvers who thrive in a dynamic environment, enjoy variety, and work effectively as part of a collaborative, multi disciplinary team. Job description As the Lead Software Developer, you will provide technical leadership across NDEC and the wider NCA, driving the design, development and delivery of high quality software solutions that directly support mission critical operational and analytical needs. Working within a multi disciplinary technical team, you will contribute to the creation of next generation tools and platforms that enhance the Agency's ability to detect, disrupt and prevent SOC. This role places you at the cutting edge of law enforcement technology, helping to shape capabilities that address some of the most complex and high impact threats facing the UK. You will set engineering standards, define best practice and ensure the team consistently delivers secure, scalable and maintainable software. A key part of your role will be leading, coaching and mentoring a team of developers, supporting their technical growth, fostering a positive and collaborative culture, and ensuring their work aligns with NCA priorities. You will champion modern development approaches and agile delivery methods, promoting DevOps practices, automation and continuous integration/continuous deployment to ensure rapid and reliable delivery. Your responsibilities will include guiding technical decision making, selecting appropriate technologies and architectural approaches, and making informed judgments about when to build bespoke solutions or adopt existing tools. You will work closely with data scientists, analysts, product managers and operational teams to ensure that complex mission requirements are translated into robust, user centred technical solutions. In doing so, you will ensure that software developed within NDEC integrates effectively with operational workflows and delivers real world impact. You will also play a key role in strengthening the developer community across NDEC and the wider Agency, promoting knowledge sharing, encouraging experimentation and driving the adoption of good practice in security, testing, automation and documentation. Through strong technical leadership and a commitment to continuous improvement, you will help build a high performing software engineering capability that delivers meaningful outcomes in a fast moving and demanding environment. Duties and Responsibilities Team Leadership - Lead, manage and inspire a software development team to design, build and deliver high quality data services that address complex operational challenges. Provide clear direction, set standards and foster a culture of technical excellence and continuous improvement. Relationship Building - Develop strong, collaborative relationships across the NCA technical community. Promote shared learning, knowledge exchange and cross functional working to build collective capability and support the effective delivery of Agency priorities. User Engagement - Champion user centred design by defining effective approaches for understanding user needs and guiding others in eliciting and interpreting user stories. Distinguish clearly between genuine user needs and stakeholder wants, ensuring research is applied appropriately and recommending the most suitable tools and methods. Modern Development Standards - Apply and promote modern engineering standards and practices across complex projects and programmes, ensuring solutions are robust, secure, maintainable and aligned with organisational best practice. Programme and Build (Software Engineering) - Maintain technical oversight across all stages and iterations of the software development lifecycle. Provide expert advice to stakeholders, set team wide standards for programming tools and techniques, and ensure appropriate application of methods, frameworks and compliance requirements. Information Security - Design solutions with embedded security controls, ensuring they are purposefully engineered to mitigate relevant security threats and meet NCA and national security requirements. Systems Design - Develop systems that balance risk, impact and technical complexity, selecting suitable design patterns and standards. Review and assure the designs of others, ensuring appropriate technology choices, efficient resource use and effective integration across multiple systems. Systems Integration - Coordinate integration activities across systems, defining integration approaches and supporting teams in undertaking integration testing. Ensure components interact reliably and support the delivery of end to end operational capability. Person specification Software Engineering - Demonstrable industrial experience designing, developing and testing complex object oriented software applications. Strong proficiency in object oriented programming languages, with experience applying robust engineering principles in production environments. Deep understanding of the full software development lifecycle, including discovery, design, build, testing, deployment and maintenance. Development Practices & Delivery - Hands on experience working within agile delivery environments, applying iterative development, continuous feedback and prioritisation techniques. Practical experience with modern DevOps practices, automation and CI/CD pipelines to ensure consistent, reliable and secure deployment. Ability to translate user and business requirements into technical solutions, managing expectations and making informed, collaborative trade offs. Cloud, Infrastructure & Environments - Knowledge of designing, deploying and maintaining software across cloud and on premise environments. Understanding of how to build scalable, secure and resilient systems that integrate effectively within complex technical landscapes. Technical Design & Architecture - Experience contributing to technical design decisions, architectural patterns and standards. Ability to assess technology options, ensure alignment with best practice, and contribute to long term technical strategy. Technical Leadership - Experience operating in a technical leadership role, providing direction, coaching and assurance to software developers. Ability to build a positive engineering culture, promote knowledge sharing, and drive continuous improvement across a multi disciplinary team.

Job Title: Python Software Engineer Job Type: Full-time, permanent, Manchester Salary: Up to £65,000 + 10% Bonus About the business This Manchester based organisation are one of the UK's fastest-growing AI scale up comany's who are on a mission to beacome the market leader in both their specilaist B2B and B2C offerings. They build internal scalable, cutting-edge AI technology that powers a niche area to be the best that it can be. Join them to work on high-impact projects in a collaborative, innovation-driven environment. Role Overview They are looking for a passionate and experienced Python Software Engineer to help design, develop, and maintain robust Back End systems and APIs. You'll work closely with product managers, data scientists, and other engineers to deliver reliable, scalable, and secure software. Key Responsibilities Design, develop, test, and deploy scalable Back End services using Python. Write clean, efficient, and well-documented code. Build and maintain RESTful APIs and integrate with third-party services. Collaborate with DevOps and Front End engineers to ensure seamless delivery. Optimize applications for maximum speed and scalability. Participate in code reviews and contribute to best practices. Troubleshoot, debug, and upgrade existing systems. Required Skills & Qualifications 5+ years of professional experience in Python software development. Strong knowledge of Python frameworks such as Django, Flask, or FastAPI. Experience with SQL and NoSQL databases (eg, PostgreSQL, MongoDB). Familiarity with cloud platforms (AWS, GCP, or Azure). Experience with containerization tools (Docker, Kubernetes is a plus). Strong problem-solving skills and attention to detail. Excellent communication and teamwork skills. Bachelor's degree in Computer Science or a related field (or equivalent experience). Preferred Qualifications Experience with CI/CD pipelines and test-driven development. Exposure to asynchronous programming (eg, asyncio, Celery). Familiarity with Front End technologies (React, Vue.js) is a bonus. What They Offer Competitive salary and bonus Flexible hybrid working model. Health, dental, and vision insurance. Generous holidays. Professional development budget. A collaborative and inclusive team culture.

Lead PHP Developer - PHP Laravel/Symfony/CodeIgniter; HTML, CSS, SQL/MySQL, AWS inc AI Search; Javascript Vue, React; Full Stack/Full Lice Cycle, Professional Services/Finance Systems. Permanent, London (Hybrid 2/3), £130k - £150k (On Experience) +Benefits Lead PHP Developer / Senior Web Developer / Team Lead required by global professional services company. Working on both internal systems integrating with 3rd party systems as well as customer facing web-based systems built in PHP and associated frameworks, you will lead development initiatives within the full life cycle. Working with an internationally dispersed team the Lead PHP Developer / Senior Web Developer will: Work with both Project Managers and Data Scientists to define, manage and deliver projects Play a lead role in the architecture and design of web-based systems Develop code within the full life cycle: Development>Testing>Deployment>Refactor Develop integrations with internal and external system via APIs Undertake code reviews across PHP, Laravel, Symfony, CodeIgniter, Go/Golang (to a lesser degree), SQL/MySQL, HTML, CSS and Javascript (inc React and Vue) Architect, build, and deploy scalable, cloud-native, AI-powered data-driven products in AWS Drive the integration of AI, automation, agents, and modern tooling (including model context protocol capabilities) to enhance developer productivity and delivery pipelines Lead and develop team members across software, data, platform, and AI We are open to applications from across industry and varying levels of experience in terms of leadership and project delivery; any experience working within Agile/Scrum would be beneficial. You will however: Possess Senior level, hands-on PHP development experience with both raw OOPHP and at least one main contemporary framework such as Laravel/Symfony, CodeIgniter etc Work within the full stack of web development inc PHP, Javascript, HTML, CSS Be confident in use of various Javascript Frameworks inc Vue, React (or others) Possess strong database design skills for web-based systems utilising SQL/MySQL Be comfortable deploying enterprise applications within the AWS environment Apply microservices architecture, database design, and rigorous security standards Possess experience working with internal AI platforms as well as (ideally) AWS AI Search Demonstrate experience working within the full life cycle from design to delivery Be capable of leading diverse teams across development, DevOps, AI, Data Science This is an excellent opportunity to join a business at an exciting time of international development and play a key role in the future of its core business systems. Excellent benefits and flexible Hybrid (2 days in office) working conditions offered.

You will be responsible for: Designing, implementing, and maintaining scalable data pipelines and ETL processes Developing and optimising databases and data storage solutions for structured and unstructured data Collaborating with data scientists and analysts to deliver reliable, high-quality data for analytics and reporting Ensuring data quality, integrity, and compliance with security and governance standards Supporting the adoption of best practices for data engineering and contributing to technical decision-making Candidates should demonstrate: A BEng/BSc or Master's degree in Computer Science, Data Engineering, Mathematics, or a related discipline Strong programming skills in languages such as Python, SQL, and Java or Scala Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Expertise in building and maintaining ETL pipelines and data workflows Familiarity with cloud data platforms (AWS, Azure, GCP) and data pipeline orchestration tools (Airflow, Prefect, etc.) Understanding of data modelling, schema design, and performance optimisation Experience with agile development methodologies, including Scrum and Kanban Familiarity with version control tools such as Git Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Role: Data Scientist Location: London (mostly remote / hybrid options available) Salary: Up to circa £65,000 The Role We are looking for a Data Scientist to design and deploy machine learning solutions for our client, a data analytics and software development company, working on a project for a high-profile financial intuition initially, with a strong focus on Large Language Models (LLMs). You will work on creative cutting-edge AI applications, turning data into impactful solutions. What You Will Do Build and deploy ML and LLM-based solutions Prepare data, engineer features, and ensure quality Fine-tune, evaluate, and optimise LLMs and other models Develop scalable data pipelines across cloud systems, writing clean, production-ready code Select the best algorithms for each problem What You Will Bring 2-3+ years in Data Science or similar role Strong Python and machine learning expertise At least 2 years' hands-on experience working with LLMs (e.g. fine-tuning, prompt engineering, deployment) Experience with modelling techniques (e.g. regression, clustering) Degree in Data Science, Statistics or related subject

Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy. They've invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of expert-tagged images. Now, they're scaling globally - and need a world-class Lead Data Scientist to help push the boundaries of computer vision, video analysis, and multimodal LLMs while solving real-world challenges. Role Overview They are looking for an experienced Lead Data Scientist to spearhead machine-learning initiatives, with particular focus on computer vision, large language models, and production ready ML pipelines in Azure. You will act as the technical lead for the team, setting direction, guiding best practices, and ensuring the successful delivery of high-impact AI solutions. Key Responsibilities Develop, train, and deploy computer vision models (object detection, image classification, segmentation, multi-modal learning) Fine-tune, evaluate, and productionise multi-modal LLMs for business applications. Drive experimentation and prototyping of advanced ML/AI techniques Provide technical direction, mentoring, and hands-on guidance to the data science team. Work with engineering, product, and business stakeholders to align ML strategy with business goals. Architect and productionise end-to-end ML pipelines on Azure, while ensuring scalability, reproducibility, and monitoring of deployed models. Requirements 6+ years in data science / ML, with at least 2 years in a technical lead role. Deep experience in training and deploying computer vision models into production Proven track record with LLM fine-tuning, prompt engineering and productionisation Deep experience in MLOps on Azure, including CI/CD, monitoring and scaling pipelines. Strong coding skills in Python, with frameworks such as PyTorch, FastAPI and Azure CLI. ALL APPLICANTS MUST BE FREE TO WORK IN THE UK Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds, and we confirm that we will gladly accept applications from any person for this role.

ML Engineer £500-£560 The Company They are a well-established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact. The Role In this role, you will: Design and implement pipelines for training, evaluating, deploying, and monitoring detection models Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows Collaborate with backend and product teams to define integration requirements for trust detection services Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real-time model serving, feature consistency, and monitoring Uphold strong standards around testing, observability, and operational excellence Contribute to a scaling engineering culture where experimentation and measurable outcomes are central Your Skills and Experience Strong commercial experience building and deploying ML pipelines in production Experience with asynchronous ML inference pipelines Deep understanding of end-to-end ML workflows from research through to deployment Ability to operate with ownership in complex, fast-moving environments Strong communication skills for working with both technical and non-technical stakeholders Experience designing systems within modern cloud environments such as AWS or GCP Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit-learn Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow How to Apply If you are interested in this Machine Learning Engineer position, please apply with your CV.

We are seeking a Software Engineer with strong C++ skills to join a small, highly technical development team. This role offers the opportunity to work on sophisticated software that controls high-precision hardware systems and performs complex image analysis. You will collaborate closely with engineers and scientists to design and deliver integrated hardware and software solutions. What you'll do Develop Windows desktop applications using C++ and .NET Design, implement and test software for high-precision systems and imaging platforms Work closely with hardware engineers and technical specialists Contribute to software architecture, planning and agile development Write automated tests and support system validation Occasionally assist with system installation and configuration What we're looking for 2-4+ years of software development experience Strong C++ development experience (essential) Experience with .NET (VB.NET) / WinForms or similar desktop frameworks Degree in a STEM discipline Strong problem-solving and mathematical skills Ability to work effectively in a small collaborative engineering team Desirable experience Multi-threading or concurrent programming Image analysis or data modelling 3D geometry or mathematical modelling Git and automated testing Embedded systems or hardware control Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Team - Data Science Working Pattern - Hybrid - 2 days per week in the Vitality London Office. Full time, 37.5 hours per week. We are happy to discuss flexible working! Top 3 skills needed for this role: Expert AI/ML Skills - Strong in both traditional ML and modern LLM/RAG/agentic workflows Production Deployment & MLOps - Comfortable shipping scalable AI systems using APIs, microservices, Docker/Kubernetes, and cloud (GCP ideal) Business Partnering - Able to translate business needs into clear technical requirements and work across teams What this role is all about: At Vitality, data scientists and AI Engineers develop and deploy innovative AI applications spanning the entire value chain of our business, including marketing, sales & retention, underwriting, claims, health and wellness management, customer service, and fraud. The Data Science function is recognised as a core driver of strategic value within the business, with a high-profile and strong support allowing the team to confidently take on and deliver transformational projects.We are seeking highly skilled AI Engineers to join our growing team. You will design, develop, and deploy AI-driven applications leveraging both traditional machine learning and LLM based applications. The role involves building internal and external AI solutions such as Retrieval-Augmented Generation (RAG) systems, chatbots, and voice-based customer service platforms, all deployed on Google Cloud Platform (GCP). You will work closely with data scientists, software engineers, and product teams to deliver robust, scalable, and production-ready AI solutions. Key Actions Stay current with advancements in LLM frameworks, agentic SDKs, and cloud-native AI deployment Work with the business to gather business requirements for new AI applications Design and implement AI applications Deploy AI applications into production environments on a Google Cloud Platform Collaborate with cross-functional teams to integrate AI applications with Enterprise systems Optimise models for performance, scalability, and cost-efficiency What do you need to thrive? Demonstrable experience of working with the business to create a detailed set of project requirements Strong foundation in traditional machine learning (classification, regression, etc.) Hands-on experience with LLM-based applications Experience building RAG systems and agentic workflows that leverage external tools Familiarity with agentic SDKs (ADK, LangChain, LlamaIndex, etc.) Proven track record of deploying AI applications into production environments Strong understanding of API development, microservices, and containerization (Docker, Kubernetes) Knowledge of MLOps best practices Excellent problem-solving skills and ability to work in a fast-paced environment So, what's in it for you? Bonus Schemes - A bonus that regularly rewards you for your performance A pension of up to 12%- We will match your contributions up to 6% of your salary Our award-winning Vitality health insurance - With its own set of rewards and benefits Life Assurance - Four times annual salary These are just some of the many perks that we offer! To view the extensive range of benefits we offer, please visit our careers page. Fantastic Benefits. Exciting rewards. Great career opportunities! If you are successful in your application and join us at Vitality, this is our promise to you, w e will: Help you to be the healthiest you've ever been Create an environment that embraces you as you are and enables you to be your best self Give you flexibility on how, where and when you work Help you advance your career by playing you to your strengths Give you a voice to help our business grow and make Vitality a great place to be Give you the space to try, fail and learn Provide a healthy balance of challenge and support Recognise and reward you with a competitive salary and amazing benefits Be there for you when you need us Provide opportunities for you to be a force for good in society We commit to all these things because we want you to feel that you belong, and are supported to be happy and healthy.About The CompanyWe're incredibly proud to be recognised for the culture we've created - recently being named one of Glassdoor's Best Places to Work 2026 , and in 2024 we were delighted to be awarded Top 10 Places to Work in the Sunday Times Awards. Vitality is a multi-award-winning UK insurance brand, here to make the world a healthier, happier place.We've been a purpose and values-driven business from day 1- long before it became fashionable. Our core purpose is to make people healthier and enhance protect their lives. Vitality pioneered shared-value insurance. We incentivise people to live healthier longer lives - they benefit, our business benefits, and society benefits. We're successful because we attract, develop, and retain the best people - and because we care. Diversity & Inclusion At Vitality, we're committed to diversity and inclusion because it's good for our employees, for our business, and for society. We welcome applications from individuals of all backgrounds, experiences, and perspectives. Vitality's approach to sustainability Vitality is a business that drives positive change. We reward people for making and sustaining healthier choices. But healthy people also need a healthy environment. To learn more please visit our Careers page.

Structural Investigation Data Analyst We are looking for a Structural Investigation Data Analyst to join our team at TRACE who has excellent technical report writing skills to deliver engineering-led insights for structural investigations and infrastructure projects. The role will involve interpreting GPR and NDT datasets. Ideally you will have GPR and NDT experience, if not we will provide training to get you up to speed. This is a fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. If you've also worked in the following roles, we'd also like to hear from you: Reporting Analyst, Engineering Data Analyst, Technical Analyst, NDT Data Analyst, Geophysicists, Civil Engineer, Geophysical Surveyor, Utility Surveyor, NDT (Non-Destructive Testing) Engineer / Technician, GPR (Ground Penetration Radar) Engineer, Geoscientist SALARY: £30,000 to £40,000 per annum + Benefits LOCATION: Fully remote position with no site-based work. You can be based anywhere in the UK or Europe. But must have the right to work in the UK. JOB TYPE: Full-Time, Permanent JOB OVERVIEW We have a fantastic new job opportunity for a Structural Investigation Data Analyst to join a specialist consultancy delivering advanced structural analysis and non-intrusive testing insights. As a Structural Investigation Data Analyst you will transform complex datasets from GPR and ultrasonic testing into clear, structured engineering outputs, supporting infrastructure and civil engineering projects. Working remotely, the Structural Investigation Data Analyst will collaborate with consultants and site teams to integrate multi-method data, ensuring accurate interpretation and high-quality reporting. This is a technically focused role offering the opportunity to work on complex investigations and contribute directly to engineering decision-making. ABOUT US TRACE is a specialist consultancy focused on advanced structural investigation and Non-Intrusive Analysis (NIA). We do not operate as a traditional survey company. Our focus is on delivering engineering insight, not just data. Our approach integrates: Ground Penetrating Radar (GPR) Ultrasonic testing and tomography Magnetic corrosion mapping (iCAMM) Targeted intrusive verification where required We work across a wide range of structures, including: Bridges and highways infrastructure Warehouses and industrial assets Tunnels and complex civil structures Reinforced concrete and masonry buildings Our deliverables are digital-first and interpretation-led, including: High-quality CAD outputs Mapped defects and structural features Reports designed to support engineering decisions, not just record data We are a growing, technically driven company, building a reputation for delivering work that goes beyond standard industry outputs. DUTIES Your duties as the Structural Investigation Data Analyst include: GPR Data Processing: Interpret and analyse Ground Penetrating Radar data for concrete structures NDT Analysis: Evaluate datasets from ultrasonic testing methods including pulse echo and tomography Technical Reporting: Produce structured reports, data summaries, and interpretation notes Data Integration: Combine multiple datasets into coherent engineering-led outputs Visual Outputs: Generate annotated scan outputs such as B-scans, amplitude maps, and depth slices CAD Support: Assist in producing CAD-based deliverables where required Collaboration: Work closely with consultants to align outputs with site conditions and objectives Data Interpretation: Translate complex or imperfect datasets into defensible conclusions Quality Assurance: Maintain high levels of accuracy, consistency, and attention to detail CANDIDATE REQUIREMENTS ESSENTIAL Proven experience of technical report writing and structured documentation Strong ability to interpret complex datasets and produce clear outputs Excellent attention to detail and data handling accuracy Comfortable working remotely within a collaborative, digital team environment DESIRABLE Previous experience in GPR data processing and interpretation within structural or concrete environments Experience with ultrasonic testing methods such as UPV, pulse echo, or tomography Experience supporting or producing CAD outputs Exposure to multi-method non-destructive testing (NDT) investigations Understanding of structural behaviour and common concrete defects BENEFITS £30,000 - £40,000 per annum depending on experience 25 days annual leave, plus bank holidays. Fully remote working model Opportunity to work on complex structural investigations A technically focused role with clear impact on final deliverables Opportunity to grow within a specialist, expanding consultancy NO AGENCIES PLEASE HOW TO APPLY To be considered for this job vacancy, please submit your CV to our Recruitment Team who will review your details. JOB REF: AWDO-P14541 This job is being advertised by AWD online on behalf of TRACE Structural Investigations

Data Scientist - SC Cleared We are supporting a government department in a GDS environment with the appointment of an SC-cleared Data Scientist to join a high-performing technology team. This role requires strong hands-on experience across Google BigQuery , DataForm , JavaScript procedures , Python , statistics , and data modelling . You will work with complex datasets to build analytical models, transform and structure data, and generate insight to support operational and strategic decision-making. Key responsibilities: Build and maintain analytical and data models Use BigQuery to query, manage, and optimise large datasets Develop data transformation workflows using DataForm and JavaScript procedures Apply Python for analysis, modelling, and automation Use statistical techniques to identify patterns, trends, and insights Translate business questions into clear analytical outputs Work closely with technical and non-technical stakeholders in an agile delivery environment Required experience: Active SC clearance Strong experience in a Data Scientist or similar analytical role Hands-on use of Google BigQuery Experience with DataForm Strong Python capability Good understanding of statistics and data modelling Desirable: Government or public sector experience Experience in a GDS environment Exposure to large operational datasets