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JOB DESCRIPTION The Azure Software Engineer (AI) , working in a multi-disciplined team, requires a broad range of technical and soft skills to deliver intelligent cloud solutions effectively. These skills are categorised into the following domains: Engineering & AI Development Skills AI engineering is the core domain. Engineers are responsible for building, integrating, and operationalising intelligent solutions. AI-Driven Application Development - Design and build applications enhanced with AI capabilities using Azure OpenAI, Azure AI Services, and Azure Machine Learning Generative AI Implementation - Develop solutions leveraging large language models (LLMs), prompt engineering, embeddings, and retrieval-augmented generation (RAG). Machine Learning Integration - Integrate trained models into production systems using Azure ML endpoints and APIs. API Design & AI Integration - Build and expose APIs that integrate AI services into wider enterprise platforms. Data Pipeline Development - Design and implement pipelines for ingesting, processing, and transforming data for AI workloads. Model Operationalisation (MLOps) - Implement processes for versioning, deployment, monitoring, and life cycle management of ML models. Responsible AI - Ensure fairness, transparency, explainability, and governance in AI solutions. Azure Platform & AI Services Skills Strong knowledge of Azure's AI ecosystem and cloud platform is essential: Azure AI Services Expertise - Hands-on experience with Azure OpenAI, Cognitive Services, Azure Machine Learning, and AI Search. Cloud Architecture for AI - Design scalable AI architectures including data ingestion, model serving, and Real Time inference. Data Services - Work with Azure data platforms (Azure Data Lake, Synapse, Cosmos DB) to support AI workloads. Identity & Security - Secure AI systems using Azure AD, Managed Identities, and data protection best practices. Monitoring & Observability - Monitor models and applications using Application Insights and Azure Monitor, including model drift detection. Cost Optimisation - Manage and optimise AI workloads to balance performance with cost, especially for compute-intensive models. Human Skills Working in a multi-disciplinary AI team requires strong interpersonal capabilities: Problem Solving - Diagnose issues across AI models, data pipelines, and cloud infrastructure, identifying root causes effectively. Collaboration - Work closely with data scientists, data engineers, architects, and business stakeholders. Knowledge Sharing - Share AI and engineering knowledge across teams to build organisational capability. Adaptability - Keep up with rapidly evolving AI technologies, tools, and Azure capabilities. Technical Skills A strong technical foundation across software engineering, data, and AI is required: Programming Languages - Proficiency in languages commonly used in AI and cloud development (eg, Python, C#, JavaScript). AI/ML Frameworks - Familiarity with frameworks such as PyTorch, TensorFlow, or scikit-learn. Azure Cloud Platform - Deep expertise in Azure, particularly AI and data services. Containers & Kubernetes - Experience deploying AI workloads using Docker and Azure Kubernetes Service (AKS). Databases & Storage - Design and optimise both structured and unstructured data storage solutions. Version Control & CI/CD - Use Azure DevOps or GitHub for code, model versioning, and automated deployment pipelines. Data Engineering Foundations - Understanding of ETL/ELT processes and large-scale data processing. Multi-discipline Enabling Skills AI projects require cross-functional awareness: AI Operations (MLOps) - Manage AI solutions in production, including monitoring, retraining, and scaling. Security & Compliance - Ensure data privacy, regulatory compliance, and secure handling of sensitive AI data. Application Lifecycle Management - Contribute across the life cycle from experimentation to deployment and support. Architecture Collaboration - Work with architects to design scalable and responsible AI systems aligned to Azure best practices. Process & Framework Knowledge Modern AI engineering relies on structured processes and frameworks: Agile - Deliver AI features iteratively, incorporating feedback and experimentation. Scrum - Active participation in sprint delivery and planning cycles. DevOps & MLOps - Combine CI/CD with model life cycle management and data pipeline automation. Azure Well-Architected Framework - Apply principles across performance, reliability, security, and cost optimisation. Responsible AI Frameworks - Apply ethical AI principles and governance standards throughout development. SRE Principles - Ensure reliability and scalability of AI systems in production. Remote working with occasional meetings in either Reading or Warton. Inside IR35 £86-100/hr 10 months Contract UK eyes only, so must be British National with Sole British passport Must have active SC Security Clearance

Development Chemist require based in West Yorkshire on a permanent basis. Requiring a degree in Chemistry (or similar), with recent and extensive experience in formulating products such as lubricants, oils, greases, coatings (other aligned industries considered), as well as proven industrial experience in developing, validating and applying analytical or performance test methods. Title: Development Chemist Location: West Yorkshire Salary: 32,000 - 40,000 per annum (dependent on experience) Term: Permanent SRG are working with a global, market leading specialist developer and manufacturer of a range of industrial chemicals including fluids, lubricants, oils and other speciality products. They are now seeking a Development Chemist to join their R&D team in West Yorkshire to support in developing both new and existing products within the portfolio. This is a hands-on development position within an established R&D team, combining laboratory formulation work with a strong focus test method development. The successful candidate will play a key role in the development, optimisation and validation of new and existing products, while acting as a technical authority for test methods across the wider team. Benefits: You will join a highly successful company, with an opportunity to make a great impact. 35 hours - Monday to Friday, with flexibility on start and finish times. 25 days holiday and plus bank holidays. Potential for an annual bonus and company pension scheme. Role/Description Lead laboratory-based formulation and development activities from concept through to scale-up readiness Plan and execute laboratory testing using recognised industry-standard and internal test methods Interpret and analyse experimental data to assess performance, guide formulation decisions and support robust technical conclusions Develop, improve and validate analytical and performance test methods to support product development and regulatory requirements Act as a subject matter expert for analytical techniques, advising colleagues on method selection and troubleshooting Support validation, calibration and ongoing suitability of laboratory equipment Provide technical support on in-market products, including root cause analysis and corrective action planning Manage technical aspects of development projects, reporting progress clearly and proactively Prepare high-quality technical reports and presentations for internal and external stakeholders Ensure full compliance with health, safety and regulatory requirements, contributing to a culture of continuous improvement Requirements Degree-level qualification (BSc or higher) in Chemistry or a closely related discipline Extensive practical laboratory experience in formulation or development chemistry within a materials, chemicals or speciality products environment (lubricants, oils, greases, coatings etc.) Proven experience developing, validating and applying analytical or performance test methods Strong ability to design experiments, critically evaluate data and translate results into actionable recommendations Sound understanding of laboratory HSE, COSHH and risk assessment principles SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you would like to apply for this position, please use the link provided. Alternatively please email a copy of your CV to For more information regarding this position or any others, please call Chris on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Are you a Data Scientist who enjoys building real-world models that drive commercial decisions , not just experimentation? I'm hiring for a Data Scientist to join a leading data and analytics consultancy working across customer insight, marketing, and predictive modelling. This is a brilliant opportunity to work on high-impact data products , combining advanced analytics, business understanding, and client-facing delivery in a collaborative, product-focused environment. The company This is a well-established data consultancy that sits at the intersection of data provision, analytics, and product development . They work with high-volume customer data across sectors like utilities, telecoms, financial services, and charities - using data to solve real commercial problems and drive better decisions. They've built out a Customer Intelligence Platform , where data science, analytics, and product teams collaborate to create scalable, reusable data products. Where you fit You'll sit within the Data Science team , working closely with Product Managers, Data Analysts, and subject-matter experts. This is a hands-on modelling role with strong client interaction , where you'll take problems from discovery through to delivery - combining technical expertise with commercial thinking. What you'll be doing Build predictive models (often propensity modelling / scoring models ) to solve real customer and business problems Work directly with clients to understand challenges, run discovery sessions, and shape analytical approaches Develop and refine models, including training, testing, and optimisation Lead rapid prototyping and proof-of-concept work using Databricks notebooks Define features, model structures, and scoring outputs for data products Translate analytical outputs into clear, actionable insights and presentations for clients Contribute to the development of scalable, reusable data products within the platform Example project You might build a model that predicts which customers are most likely to repay debt , then segment them to determine the best engagement strategy - using behavioural and demographic patterns to optimise outcomes. Tech stack Python & SQL (essential) Databricks (core analytics environment) Azure-based data platform (with flexibility depending on client environments) What you bring Must-haves 3+ years experience in data science Strong Python and SQL skills Experience building and evaluating predictive models Understanding of data modelling and feature engineering Ability to translate data into clear commercial insight and recommendations Confident communicator - comfortable working directly with clients Consultancy or client-facing experience Nice to have Experience with Databricks or cloud platforms (Azure, etc.) Background in customer, marketing, or transactional data Exposure to industries like telecoms, financial services, or utilities Why this role Work on end-to-end data science projects - not just isolated modelling Strong balance of technical work and commercial impact Opportunity to contribute to product development and innovation Exposure to multiple clients, industries, and use-cases Collaborative team environment with analysts, SMEs, and product teams Working pattern Hybrid: 1 day per week in London Open to candidates based in the Midlands who can commute weekly Additional flexibility for the right candidate UK travel to clients may be required depending on project work

Development Chemist require based in West Yorkshire on a permanent basis. Requiring a degree in Chemistry (or similar), with recent and extensive experience in formulating products such as lubricants, oils, greases, coatings (other aligned industries considered), as well as experience or a strong interest in packaging technology, product-package compatibility, or packaging sustainability. Title: Development Chemist Location: West Yorkshire Salary: 32,000 - 40,000 per annum (dependent on experience) Term: Permanent SRG are working with a leading manufacturing business within the speciality chemicals sector. They are now looking to hire a Development Chemist to join their R&D team in West Yorkshire. The successful candidate will join an established R&D laboratory team and play a key role in formulation, testing, and continuous improvement activities. Alongside core development chemistry responsibilities, this position has a strong interface with packaging, acting as a central technical contact for pack-format feasibility, product-package compatibility, and sustainability considerations during early-stage development. This role would suit a practical, curious chemist who enjoys problem-solving, collaborating across functions, and seeing products progress from concept through to manufacture. Benefits: You will join a highly successful company, with an opportunity to make a great impact. 35 hours - Monday to Friday, with flexibility on start and finish times. 25 days holiday and plus bank holidays. Potential for an annual bonus and company pension scheme. Role/Description Develop and optimise chemical formulations in the laboratory from initial concept through to scale-up readiness. Carry out laboratory testing using recognised industry standard and internal methods, ensuring robust documentation and data integrity. Interpret experimental data to assess performance and recommend formulation improvements. Act as a first point of contact for packaging-related technical queries, including material compatibility and pack-format selection. Provide input on packaging sustainability, recyclability, and regulatory considerations, including PPWR awareness. Support technical troubleshooting for existing products and liaise with external test houses where required. Contribute to technical reports, presentations, and project updates. Ensure all work is carried out in line with health, safety, and quality procedures, including COSHH and risk assessments. Actively contribute to continuous improvement of laboratory methods and ways of working. Requirements Degree-level qualification (BSc or higher) in Chemistry or a closely related discipline Extensive practical laboratory experience in formulation or development chemistry within a materials, chemicals or speciality products environment (lubricants, oils, greases, coatings etc.) Some experience or strong interest in packaging technology, product-package compatibility, or packaging sustainability. Strong experimental design, data analysis, and problem-solving skills. Good understanding of laboratory HSE, quality, and documentation standards. SRG is the UK's number one recruitment company specialising in the scientific, engineering, clinical, pharmaceutical, food/FMCG, energy & renewables, biotech, chemical and medical device sectors. As scientists ourselves, our specialist sector knowledge and our passion are second to none. It's this combination that makes us different. We're committed to providing outstanding temporary, contract and permanent career opportunities of all levels for our candidates and a comprehensive range of expert strategic recruitment services for our clients. If you would like to apply for this position, please use the link provided. Alternatively please email a copy of your CV to For more information regarding this position or any others, please call Chris on (phone number removed). If you have a scientific background and this position is not relevant / suitable for you, please feel free to get in touch or visit (url removed) to view our other vacancies. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

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

Job Title : Senior Data Engineer Target Start Date: 20th June 2026 Contract Type: Permanent, Part Time, Full Time, Job Share option available Salary Range: £70,000 - £85,000 Location: Eastleigh and Reigate Senior Data Engineer: We are currently recruiting for a Senior Data Engineer to join our innovative Data team. You will join a collaborative team of data and AI engineers, scientists, developers, analysts, and architects. Together, you will design and build modern machine learning and AI services that support analytics and improve products across the business. Main Responsibilities as the Senior Data Engineer: Build and support data products within our modern data platform Design and deliver solutions with engineers, scientists and product teams Develop and optimise data pipelines across the analytics platform Integrate data from varied sources with strong quality standards Maintain orchestration, monitoring and performance of data components Improve engineering processes across the wider data community Promote high coding and data practice standards Experiment with emerging data, ML and AI technologies Partner with architects on data product designs Work collaboratively in multi-functional agile squads Support ML and GenAI infrastructure and workflows Skills and experience you need as the Senior Data Engineer: Passion for building scalable, resilient cloud data platforms Strong experience with Databricks or Snowflake on AWS Proven Python skills, including Spark and Airflow expertise Advanced SQL skills and end-to-end data modelling experience Experience building batch and real-time data integrations Hands-on CICD skills with Git, Jenkins or similar Ability to ingest, cleanse and structure large, diverse datasets Knowledge of Terraform or similar IaC tools Experience with Docker and Kubernetes is beneficial Exposure to production Generative AI is an advantage Strong collaboration skills and a proactive attitude At Ageas we offer a wide range of benefits to support you and your family inside and outside of work, which helped us achieve, Top Employer status in the UK. Here are some of the benefits you can enjoy at Ageas: Flexible Working- Smart gives employees flexibility around location (as long as it's within the UK) and, for many of our roles, flexibility within the working day to manage other commitments, such as school drop offs etc. We also offer all our vacancies part-time/job-shares. We also offer a minimum of 35 days holiday (inc. bank holidays) and you can buy and sell days. Supporting your Health- Dental Insurance Health Cash Plan, Health Screening, Will Writing, Voluntary Critical Illness, Mental Health First Aiders, Well Being Activities - Mindfulness. Supporting your Wealth- 50% off esure and Sheilas' Wheels motor and home insurance, Annual Bonus Schemes, Annual Salary Reviews, Competitive Pension, Employee Savings, Employee Loans. Supporting you at Work- Well-being activities, mindfulness sessions, Sports and Social Club events and more. Supporting you and your Family- Maternity/pregnant parent/primary adopter entitlement of 16 weeks at full pay and paternity/non-pregnant parent/co-adopter at 8 weeks' full pay. Benefits for Them- Partner Life Assurance and Critical Illness cover. Get some Tech- Deals on various gadgets including Wearables, Tablets and Laptops. Getting around- Car Salary Exchange, Cycle Scheme, Vehicle Breakdown Cover. Supporting you back to work- Return to work programme after maternity leave. About Ageas: We are one of the largest car and home insurers in the UK. Our People help Ageas to be a thriving, creative and innovative place to work. We show this in the service we provide to over four million customers.As an inclusive employer, we encourage anyone to apply. We're a signatory of the Race at Work Charter and Women in Finance Charter , member of iCAN and GAIN . As a Disability Confident Leader , we are committed to ensuring our recruitment processes are fully inclusive. That means if you are applying for a job with us, you will have fair access to support and adjustments throughout your recruitment experience. If the list does not cover the support you need, please contact our Recruitment Team to discuss how they can help. We also guarantee an interview for applicants with a disability who meet the minimum criteria for the role. For more information, please see Ageas Everyone . We have a zero-tolerance approach towards any form of harassment during the recruitment process, ensuring that everyone is treated with respect and professionalism.Our aim is to have great people everywhere in our business and we're always looking for outstanding people to join us. Most roles across Ageas allow a proportion of your time to be spent working from home and we're open to discussing flexible working, including full-time, part-time or job share arrangements. To find out more about Ageas, see About Us . Want to be part of a Winning Team? Come and join Ageas.Click on the 'Apply button' to be considered. Important Notice -

Python Senior Engineer - 12 Months - London - Hybrid You will join the Recommendations team, contributing to the AI Stylist experience, an AI-powered product that combines conversational interfaces with recommendation capabilities. The work sits at the intersection of engineering and AI, focused on improving relevance, quality, and reliability in a live, customer-facing system. You will collaborate closely with engineers, data scientists, and product stakeholders to evolve the system and support its rapid growth Your responsibilities: Building and evolving AI-powered services using Python Designing and implementing evaluation frameworks for LLM-based systems Improving output quality through structured evals rather than purely code changes Applying techniques such as LLM-as-a-Judge to assess response and recommendation quality Working with non-deterministic systems and iterating based on real-world behaviour Integrating AI services into a broader platform and API ecosystem Contributing to production readiness including reliability, observability, and performance Partnering with data scientists on prompts, model usage, and evaluation strategies Essential skills/knowledge/experience: Strong Python engineering experience in production environments Experience building AI-enabled applications, particularly in recommendation or conversational systems Hands-on experience with evaluation frameworks for LLM or AI systems Clear understanding of how AI systems differ from traditional deterministic systems Ability to design meaningful evals and improve system quality over time Experience working in cross-functional teams with engineering, data, and product Desirable skills/knowledge/experience: Experience with Azure AI services or similar platforms Familiarity with OpenAI or similar SDKs Exposure to infrastructure and distributed systems Experience with tools such as Terraform or Kafka The Offer Day Rate: £450/day (inside IR35) Length: 12 Months (Extenstion Potential) Mode: Hybrid (2x p/w in London) Start: ASAP

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 Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to 110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to 110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.

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.

AWS Data Solution Architect Location: UK Wide (Hybrid Working - our clients has base offices UK-Wide) Salary: Up to 110,000 Base Salary + Bonus + Comprehensive Benefits Package Security Clearance: Must be eligible for SC Clearance Shape the Future of Data, Analytics & AI We're partnering with a leading global technology consultancy to recruit an experienced AWS Data Solution Architect . This is a fantastic opportunity to play a key role in designing and delivering modern, enterprise-scale data platforms that enable advanced analytics, AI, GenAI, and data-driven decision making across some of the UK's most complex and high-profile environments. You'll work alongside highly skilled architects, engineers, and data specialists, helping organisations transform their data capabilities using cutting-edge AWS technologies and modern cloud architectures. The Opportunity As an AWS Data Solution Architect, you will take ownership of end-to-end solution design, translating business requirements into scalable, secure, and governed cloud data platforms. You'll lead architecture decisions, shape delivery roadmaps, and provide technical leadership across large-scale transformation programmes. Key Responsibilities Design and architect modern AWS data platforms supporting analytics, AI/ML and GenAI initiatives. Build scalable data integration and ingestion frameworks using AWS Glue, Step Functions, EventBridge and DMS. Design secure lakehouse and data warehouse solutions leveraging Amazon S3, AWS Lake Formation, Redshift and Athena. Enable AI and machine learning capabilities through governed, feature-ready datasets and integration with AWS AI services. Lead platform governance, metadata management, lineage and data quality initiatives. Define AWS multi-account operating models, landing zones, security guardrails and environment strategies. Drive platform performance, scalability, resilience and cost optimisation. Implement CI/CD pipelines and Infrastructure-as-Code using AWS CDK, CloudFormation or Terraform. Lead cloud migration and modernisation programmes from legacy data estates to modern AWS architectures. Collaborate with stakeholders, engineers, data scientists and delivery teams to ensure successful outcomes. Desirable Experience Public sector delivery experience. Experience supporting AI, Machine Learning and GenAI initiatives. AWS certifications such as: AWS Certified Solutions Architect AWS Certified Data Engineer - Associate AWS Certified Security - Speciality Experience with: Terraform AWS CDK CloudFormation AWS CodePipeline AWS CodeBuild Git-based CI/CD workflows Security Clearance Requirements To be considered for this opportunity, candidates must be eligible to obtain Security Check (SC) Clearance . This typically requires continuous UK residency for the previous five years, alongside meeting other government security clearance criteria. Apply Now If you're passionate about designing next-generation AWS data platforms and want to work on impactful programmes that leverage analytics, AI and cloud innovation at scale, we'd love to hear from you.

Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Data Solution Architect - Databricks Location: UK Wide (Hybrid) Salary: Up to £110,000 + Bonus + Excellent Benefits Security Clearance: Must be eligible for SC Clearance The Opportunity We're recruiting for an experienced Data Solution Architect with strong Databricks expertise to join a leading technology consultancy delivering large-scale data, analytics, AI and cloud transformation programmes. This role will see you designing and delivering modern data platforms, working closely with clients and technical teams to build scalable, secure and high-performing solutions using Databricks, Apache Spark and cloud technologies. You'll also play a key role in pre-sales activities, solution design, and helping to drive strategic Databricks initiatives across the business. Key Responsibilities Design and architect Databricks-based data platforms and solutions. Build scalable data lakehouse and data warehouse architectures. Design data integration, transformation and analytics solutions. Support AI and Machine Learning use cases through modern data architectures. Collaborate with architects, engineers, data scientists and business stakeholders. Lead technical workshops and contribute to solution design activities. Support pre-sales engagements, proposals and client presentations. Drive best practice across Databricks and modern data platform delivery. Skills & Experience Required 7+ years' experience in Data Architecture or Solution Architecture. Strong commercial experience with Databricks and Apache Spark . Experience delivering enterprise data platforms on AWS, Azure or GCP. Strong understanding of data warehousing, data lakes and lakehouse architectures. Experience designing secure, scalable and governed data solutions. Excellent stakeholder management and communication skills. Experience supporting pre-sales, bids or solution shaping activities is highly desirable. Nice to Have Public sector experience. Databricks certifications. Cloud certifications (AWS, Azure or GCP). Experience with AI, Machine Learning or GenAI projects. What's on Offer? Up to £110,000 base salary Performance bonus Private healthcare Pension scheme Flexible hybrid working Ongoing training and certification support Exposure to enterprise-scale cloud, data and AI projects Clear progression opportunities Security Clearance Candidates must be eligible for SC Clearance , which typically requires continuous UK residency for the past 5 years. Apply If you're an experienced Data Solution Architect with strong Databricks expertise and are looking to work on large-scale cloud and data transformation programmes, we'd love to hear from you.

Job Title: Machine Learning Engineer (Computer Vision) Location: Oxford Salary: Up to £160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Job Title: Machine Learning Engineer (Computer Vision) Location: Cambridge Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role Strong Python programming skills Experience with PyTorch, TensorFlow, or similar machine learning frameworks Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking Experience working with real-world datasets and deploying models into production environments Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Senior Scientific Data Scientist / Pipeline Engineer Fully remote but can be hybrid upon request.6 Month Contract likely to extendOutside IR35£450 to £500 per day This is a chance to work on scientifically meaningful software that directly supports real-world discovery. You will take ownership of analytical pipelines that sit at the heart of a data-driven research platform, collaborating closely with scientists to turn complex experimental data into reliable, scalable insights. The Company They are a technology-led life sciences organisation operating at the intersection of biology, automation, and data. The business builds platforms that generate high-quality experimental data at scale and uses advanced analytics to accelerate scientific discovery. With a strong emphasis on rigour, reproducibility, and collaboration, they bring together engineers and scientists to solve complex research challenges. The Role and Deliverables Design, build, and maintain Python-based analytical pipelines for a range of experimental and bioassay data. Implement robust statistical and modelling workflows, including quality control, normalisation, and curve fitting. Translate scientific workflows into reproducible, automated analysis processes. Partner closely with laboratory-based scientists to understand experimental design and data requirements. Improve data structures and analysis readiness across the platform. Contribute to clear documentation and well-engineered, production-ready code. Your Skills & Experience Strong experience using Python for scientific or analytical software development. Proven capability analysing complex, structured experimental or assay-style datasets. Solid understanding of statistical modelling, curve fitting, and data quality control. Experience building end-to-end data or analysis pipelines with a focus on reproducibility. Comfortable using version control and applying sound software engineering practices. Able to communicate clearly with both technical and scientific stakeholders. How to Apply If you feel this role aligns with your skillset and would like to apply, please click the link below

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 AI Engineer 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 • Strong, current Python, including building and maintaining production services with FastAPI or similar. • Solid machine learning and computer vision background, with real models shipped to production rather than only notebooks and prototypes. • Hands-on experience with a computer vision training and labelling toolchain such as Roboflow, including dataset management and model evaluation. • Experience with Azure AI services such as Azure AI Foundry and Azure OpenAI, or a clear track record on an equivalent cloud AI stack and the ability to pick ours up quickly. • Practical understanding of working in a regulated or compliance-sensitive environment: data residency, de-identification, model governance, auditability, and why explainability matters. • The judgment to scope and lock a problem before building it, and to know when a model is good enough to ship. • OpenCV and classical computer vision alongside deep learning. 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.

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 .

We're are partnering with a growing digital consultancy who are looking for a Senior/Lead DevOps Engineer to deliver large-scale digital transformation projects that will make the UK smarter, safer, cleaner, and healthier. You'll work cross-functionally with developers, testers, user-centred designers, delivery managers, and data scientists to deliver secure, scalable, and high-performing solutions, while shaping DevOps practices across projects, teams, and clients. This is your chance to apply your expertise in automation, scalability, security, and cloud-native engineering to real-world challenges, while shaping DevOps practices across projects, teams, and clients. Key Responsibilities and Accountabilities As a Senior / Lead DevOps Engineer, you will: Design and implement CI/CD pipelines for deploying software and infrastructure through to production, collaborating closely with developers, testers, user-centred designers, delivery managers, data scientists, and clients. Apply zero-downtime deployment strategies to ensure reliability and resilience across projects and teams. Use Infrastructure as Code to build, manage, and evolve cloud environments at scale. Engage directly with clients, understanding their needs and translating them into robust, secure, and scalable DevOps solutions. Drive adoption of DevOps best practices, mentoring colleagues, guiding client teams, and influencing delivery outcomes. Improve security posture with automated monitoring, vulnerability detection, and patching, working alongside relevant stakeholders. Stay ahead of the curve by bringing new ideas, tools, and techniques into our work, supporting teams and clients in applying them effectively. In order to be successful in the role, candidates ideally need AWS DevOps engineering at scale, with deep knowledge of automation, distributed systems, and container orchestration Infrastructure as Code (e.g., Terraform, CloudFormation) and cloud-native CI/CD tools (e.g., GitHub Actions, CodeBuild, CodePipeline). Designing and operating secure, scalable, and high-performance systems. Leading and mentoring engineers, embedding DevOps culture and practice. Agile delivery environments (Scrum, GDS, Agile phases, etc.). Ability to build strong client relationships, explain complex technical concepts, and guide client teams in adopting DevOps practices. Experience working in a professional services or consultancy environment, with proven client-facing responsibility Awareness and/or experience of GOV.UK Service Standards and Technology Code of Practice. Experience delivering as part of multiple projects concurrently across client and internal teams This is a unique opportunity in Scotland, to join a growing scale up who are doing things differently in the market. Interested?. Please apply to find out more. Salary is NEG plus benefits Please note-this role will require some travel down to the Leeds office.

Data Scientist Location: Derby (5 days per week onsite) Reporting to: Head of Research and Experience Department: Services Level: Data Scientist (Junior-Mid Level) Job Overview We are seeking a Data Scientist to join a growing team delivering data-driven solutions across a range of complex and innovative projects. Working alongside experienced data scientists, engineers, and business stakeholders, you will contribute to the development, deployment, and optimisation of machine learning models and analytical solutions. You will gain exposure across the full data science life cycle, including data exploration, feature engineering, model development, validation, and deployment. This role is well suited to someone with a solid foundation in data science who is looking to further develop their technical expertise in a collaborative, fast-paced environment. Key Responsibilities Support the development, testing, and deployment of machine learning models and analytical solutions. Clean, transform, and analyse structured and unstructured datasets from multiple sources. Conduct exploratory data analysis (EDA) to identify trends, patterns, and business insights. Collaborate with data scientists, engineers, and stakeholders to understand requirements and solve business challenges. Create clear documentation, reports, and visualisations for both technical and non-technical audiences. Contribute to code reviews and continuous improvement of data science practices and workflows. Assist with model monitoring, validation, retraining, and performance optimisation activities. Support workshops, demonstrations, and stakeholder presentations where required. Required Skills & Experience Essential 1-3 years of experience in a Data Scientist, Data Analyst, or related analytical role. Strong programming skills in Python and/or R. Experience using machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch. Good understanding of statistics, data preparation, feature engineering, and exploratory data analysis. Strong problem-solving skills and the ability to communicate technical concepts effectively. Experience with data visualisation tools and libraries such as Matplotlib, Seaborn, Tableau, or Power BI. Ability to work effectively within a collaborative team environment. Desirable Exposure to cloud platforms such as AWS, Azure, or GCP. Experience writing SQL and working with relational databases. Understanding of model deployment approaches and MLOps concepts. Awareness of AI governance, ethics, bias mitigation, and data privacy principles. Degree qualification in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline. Additional Information Location: Derby, 5 days per week onsite. Candidates must have the right to work in the UK. Due to the nature and urgency of this post, candidates holding or who have held high level security clearance in the past are most welcome to apply. Please note successful applicants will be required to be security cleared prior to appointment which can take a minimum 10 weeks. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. An award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over multiple years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.