18 jobs found

Process Safety Engineer (12 Month Maternity Cover) Location: Remote / Home based The role: We are looking to appoint an additional Process Safety Engineer, on a 12-month fixed-term contract to provide maternity cover from August 2026 to August 2027. This role will provide process safety and risk management support to our Functional/Line Managers, through the application of risk management tools, provision of process safety and occupational safety advice, incident investigation, and assistance in the development and maintenance of MACR/ COMAH Safety Reports. This role involves assisting in developing, implementing, or participating in hazard assessment processes and workshops, to improve the organisations compliance to COMAH/MACR, legislation, and relevant good practice. Th success postholder will provide process safety support to site leads and the senior management team, to deliver site projects and initiatives, support the implementation of the organisations Safety Management System, and audit the sites and systems. As a Safety Process Engineer, you ll need to have the ability to build and maintain strong, positive, and creditable working relationships with all stakeholders both internal and external, including particular emphasis with our OMC s, (Operations Maintenance Coordinators), Fuel Depot Managers, and Operations & Engineering functions, in addition to Defence partners, such as DIO (Defence Infrastructure Organisation). The ability to liaise with people of differing levels both externally and internally ranging from the Competent Authority (HSE/EA/SEPA), OPA Management, and Leadership Teams, to wider Defence and site operatives is essential. Due to the assets being managed covering sites across, England, Scotland, and potentially overseas, it necessitates a significant amount of travel and need to spend nights away from home in order to carry out the duties required. Therefore, a full (preferably clean) driving licence is essential for the successful candidate. There will also be occasional overseas travel when required. Responsibilities: Assist with the development and maintenance of COMAH/MACR Safety Reports for all relevant OPA controlled sites/assets. Ensure risk mitigation, safety and effectiveness of design and operations through legislative compliance; identification and management of risk factors and the principles of ALARP for COMAH/MACR sites by facilitating and/or participating in assessments such as; HAZOPs/Design Reviews/HAZIDs Human factor (HRA) assessments Hazardous Area Classification assessments/DSEAR Assessments Hazard & Effect Registers (HERS) / Bowties Occupied Building Risk Assessments (OBRAs) / Credible Fire Scenario assessments. SIL / LOPA assessments Conduct HSSE and Quality assurance inspections and audits of COMAH sites; ensuring compliance with Agency standards and requirements. Conduct incident investigation as may be required. Support major projects and engineering projects through risk management, permitting, reporting, research, etc. Participate in industry forums to promote learning and the sharing of industry good practice. Promotion of the delivery of key health, safety, environment and quality targets and success factors for OPA core business functions, and propose new, more cost-effective ways of meeting HSSE and Quality requirements. Design, facilitate/conduct training for line management, and OPA staff as might be appropriate. Monitor the timely close-out of corrective actions and produce regular reports. Provide regular reports on HSSE performance data from sources such as the OPA database to internal and external stakeholders to facilitate learning and continual improvement. Conduct HSSEQ tender evaluations for contract awards. The candidate: We are looking for an Engineering graduate, with at least 5 years experience in a senior health and safety management role, in a high-risk industry. The candidate will have extensive experience in all aspects of process safety management, and understanding of the regulatory aspects of MAHs as these relate to tank storage operations and COMAH regulatory requirements. Preferably holding suitable NEBOSH qualifications. Knowledge/Skills: Knowledge and experience in the application of risk management techniques, such as HAZOPs, HAZIDs, HAC, LOPA/SIL, and Design Reviews, preferably within a high hazard industry Understanding and application of the requirements of PSLG Knowledge in the application of the principles of ALARP within the MAH industry Skill in technical report analysis and writing Ideally, vocational qualifications within core or related professional competences such as, Environmental/Safety Management Systems, Risk Management, and Process Safety competencies. Knowledge of International Standards, ISO 9001, ISO 14001, and ISO 45001 is desirable. Experience of Auditing Excellent skills in Microsoft Office, particularly Excel and Word. Full, preferably clean, driving licence.

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents - ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements - 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

3rd Line Infrastructure Project Engineer West Sussex 40k- 45k + Benefits + Pension I am recruiting for a 3rd Line Infrastructure Project Engineer for a leading IT MSP (Managed Service Provider) based in West Sussex. As a 3rd Line Infrastructure Project Engineer you will be responsible for managing and implementing projects for customers. As a 3rd Line Infrastructure Project Engineer you must have a valid UK drivers license and you will get to use a company car to visit customers. 3rd Line Infrastructure Project Engineer Responsibilities: The design, implementation, and support of various projects, to include Networks, Disaster Recovery, Office Moves, Microsoft related technologies: Azure, Windows Server, Hyper-V, 365, Exchange, SQL, SharePoint, etc. Providing 3rd Line technical support when required to support the ServiceDesk. Creating and maintaining customer documentation when changes are made (Visio network diagrams, internal documentation etc) Providing Technical assistance to the Sales team and Pre Sales team Creating scope of work documents Project Management - ensuring projects are delivered on time and in line with the scope of work. Visiting client sites when necessary Assisting in the research and evaluation of new products/services Accurately recording time entries and updating tickets as they are progressed. Customer experience. Provide great customer service. Handover of projects to the helpdesk following project completion and customer satisfaction. Providing support documentation and/or training if required, enabling the desk to support the new system professionally. 3rd Line Infrastructure Project Engineer Skills: UK Drivers Licence MSP Experience Preferred, but not essential 3 years minimum experience in similar role/3rd Line support Professional IT Certifications, such as: Microsoft MCP, MCSA, or MCSE, PRINCE2, Cisco CCNA Excellent troubleshooting and fault-finding skills Good oral and written communication skills Strong knowledge of Azure and current supported MS operating systems Server & Workstation. Install, configure, and troubleshoot. Good knowledge of supporting MS Office applications Proficiency in Active Directory, Group Policy, DHCP and DNS Advanced networking abilities. Setup, configure, troubleshoot switches, routers, vLANs, wifi, VPN, firewalls. Email - MS Exchange & 365. Install, configure, migration, and troubleshooting. Virtualisation - Hyper V. Install, configuration, and troubleshooting Knowledge of domains, basic web hosting, SSL's Good experience of remotely troubleshooting hardware including UPS, NAS, Printers VoIP troubleshooting Experience using Visio for network documentation. Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.

Senior AI Engineer Manchester A growing technology-led business is seeking a Senior AI Engineer to play a pivotal role in shaping and delivering its AI strategy. This is a senior-level, hands-on position responsible for designing, building, and deploying enterprise-grade AI solutions that drive measurable business value across the organisation. Working closely with IT, Data, Engineering, and senior business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation s long-term AI capability. The business is investing heavily in AI and is looking for someone who can combine deep technical expertise with strategic thinking, taking solutions from concept through to production deployment and adoption. The ideal candidate will have a strong foundation in AI Engineering combined with a robust Data Science background, enabling them to develop, evaluate, and optimise AI solutions that deliver measurable business outcomes. This role would suit an experienced AI professional who enjoys solving complex business challenges, mentoring others, influencing technical direction, and delivering innovative AI solutions at scale. Role Purpose As a Senior AI Engineer, you will lead the design, development, deployment, and optimisation of enterprise AI solutions, ensuring they are secure, scalable, maintainable, and aligned to business objectives. You will act as a subject matter expert for AI technologies, helping to define architecture, establish standards, and guide the organisation s AI roadmap while remaining hands-on with implementation. Key Responsibilities Design, develop, and deploy advanced AI and Machine Learning solutions to solve complex business challenges. Lead the architecture and implementation of production-grade AI applications using LLMs, RAG pipelines, AI Agents, and Azure AI services. Provide technical leadership across AI initiatives, ensuring solutions follow best practices for scalability, security, performance, and governance. Own the full AI development lifecycle, from discovery and proof-of-concept through to production deployment and business adoption. Develop and optimise AI models, prompt engineering frameworks, vector databases, and retrieval systems. Design and implement AI agent architectures, workflow automation, and API integrations. Collaborate with Infrastructure and Engineering teams to deploy AI solutions securely within enterprise environments. Ensure solutions leverage Private Endpoints, secure networking, identity management, and enterprise-grade governance controls. Establish monitoring, evaluation, and observability frameworks for AI systems, including hallucination detection, model drift monitoring, performance tracking, and cost optimisation. Partner with operational and commercial stakeholders to identify high-value AI opportunities and define business cases. Measure and report on AI project outcomes, including efficiency gains, automation benefits, cost savings, and customer experience improvements. Mentor and support other technical team members, promoting AI best practices and knowledge sharing across the organisation. Contribute to the development of the organisation s AI strategy, roadmap, and future capability. Required Experience Essential Significant commercial experience in AI Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks, and automated workflows. Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or equivalent enterprise AI platforms. Strong understanding of enterprise cloud architecture, including VNets, Entra ID, API Gateways, networking, and secure integrations. Experience deploying and managing AI workloads within production environments. Strong SQL and data engineering skills, working with both structured and unstructured datasets. Ability to translate complex datasets into actionable insights and AI-driven business solutions. Experience implementing AI governance, security, monitoring, and operational best practices. Excellent communication, leadership, stakeholder management, and problem-solving skills. Highly Desirable Strong Data Science background, with experience in statistical modelling, predictive analytics, feature engineering, experimentation, and model evaluation. Experience applying Data Science methodologies to solve complex business problems and identify opportunities for AI adoption. Experience with GenAIOps, LLMOps, MLOps, and AI observability platforms. Exposure to Computer Vision, OCR, Voice AI, Conversational AI, or multimodal AI solutions. Experience working within operational, retail, automotive, logistics, or customer-centric organisations. Knowledge of Responsible AI, AI governance frameworks, and regulatory considerations. Previous experience leading AI initiatives, mentoring engineers, or helping define AI strategy and roadmap. Experience building or contributing to an AI Centre of Excellence or internal AI capability function. What We're Looking For We're looking for someone who combines deep technical expertise with commercial awareness and a pragmatic approach to AI delivery. You'll be comfortable operating at both strategic and hands-on levels, engaging with senior stakeholders while also designing, developing, and deploying solutions yourself. You should be passionate about emerging AI technologies and have a track record of turning innovative ideas into production-ready solutions that create measurable business value. Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangement 3 days in the office / 2 days remote Opportunity to lead and shape enterprise AI capability Exposure to high-profile AI transformation initiatives Strong long-term career progression opportunities Ongoing investment in training, certifications, and professional development Interested? If you're an experienced AI Engineer or Data Science professional looking to take ownership of impactful AI initiatives and help shape the future direction of AI within a growing organisation, we'd love to hear from you. Apply now for the Senior AI Engineer opportunity in Manchester. Senior AI Engineer Manchester

JOB DESCRIPTION Our client builds AI-powered products for the property and insurance markets in the UK and Australia. The platform helps insurers, loss adjusters and contractors assess damage, generate estimates and produce structured reports. The role A hands-on backend engineering seat. Most of the week is spent building, reviewing and operating production code. There is a clear path to broader technical ownership (architecture leadership, mentoring, principal track) over the next 12 to 18 months for the right person, but this is not a management role today. Must-haves Strong commercial C# and modern .NET (8+) Blazor in production Microservices design and operation Azure (App Service or Container Apps, Azure SQL, Service Bus, Key Vault) Terraform for infrastructure as code Azure DevOps Pipelines for CI/CD API gateway patterns and API security OAuth 2.0 and OpenID Connect, with a security-conscious mindset Jira or Azure DevOps for delivery Practical experience integrating AI components into production services (prompt design, model versioning, evaluation, cost and latency trade-offs) Fluent with Claude Code or directly comparable AI-assisted development tools 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.

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.

AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

EHS / Quality Transformation Lead (AI Products) Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + package Permanent Experis are partnering with a highly successful and growing software organisation undergoing a major AI-led transformation, where intelligent systems are being embedded across a global product portfolio. We are supporting the search for an EHS / Quality Transformation Lead (AI Products), a unique and highly strategic hire responsible for defining how AI systems interpret, reason, and make decisions in regulated environments. This is a rare opportunity to shape how AI behaves in the real world by translating domain expertise into structured standards, classifications, and decision frameworks that underpin AI model development. What You'll Be Doing Defining what "correct" looks like across regulated domains such as EHS, Quality, and Compliance Creating taxonomies, classification frameworks, and annotation standards used to train AI models Designing evaluation frameworks to ensure models are accurate, consistent, and trustworthy in real-world use Leading and mentoring a team of Domain Subject Matter Experts (SMEs) across multiple disciplines Acting as the domain authority, resolving ambiguity and ensuring consistency in decision-making Partnering closely with product and AI engineering teams to translate domain knowledge into model behaviour Shaping the regulatory corpus and knowledge base, determining what data is included and prioritised Supporting the development of AI-enabled products that operate in highly regulated environments Experience Required Proven experience in regulated industries (e.g. EHS, Quality, Compliance, Risk, Audit) Strong understanding of frameworks such as ISO standards, RIDDOR, GxP, or similar Demonstrated experience defining or owning standards, policies, or frameworks Experience making real-world regulatory or operational decisions (not purely advisory) Strong leadership experience, ideally managing or influencing cross-functional or domain expert teams Ability to operate across multiple domains or business units, not just a narrow specialism Excellent communication and written skills, with the ability to translate complex concepts into structured guidance Curiosity and openness toward AI and emerging technologies Why Join Opportunity to define how AI systems make decisions in real-world, regulated environments Join a business investing heavily in AI as a core product capability Shape a new function and team from the ground up High visibility role working closely with senior leadership across product and AI If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester

AI Engineer Hybrid Python AWS LLMs Agentic AI We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform. This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally. You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience. What you'll be doing Building and deploying production AI applications using LLMs Designing agentic workflows and multi-step AI pipelines Developing scalable backend APIs and cloud-native services Creating RAG pipelines, embeddings and AI retrieval systems Improving AI reliability through testing, evaluation and guardrails Working closely with engineering, product and business teams Contributing to architecture decisions and AI best practice Helping shape the future direction of AI capability across the business Tech environment Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for Strong Python backend engineering experience Experience building and deploying LLM-based applications Good understanding of APIs, distributed systems and cloud platforms Hands-on experience with RAG, embeddings and AI orchestration Experience with Docker/Kubernetes and modern engineering practices Someone comfortable operating in a fast-moving product environment Nice to have Experience with agentic AI frameworks AI evaluation and guardrail implementation Fine-tuning or hosting LLMs Reinforcement learning or planning systems MSc or PhD in a relevant discipline Why apply? Opportunity to work on genuinely cutting-edge AI products High-impact engineering role with real ownership Modern tech stack and AI-first environment Fully remote flexibility Strong growth plans and long-term AI investment If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.

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

Job Description Design Safety Engineer Full Time Bristol - Hybrid - minimum 3 days on site per week Why Rolls-Royce? We have number of Design Safety career opportunities within our Defence business in Bristol and our satellite site in Derby. We are looking to fill a number of roles with a range of levels of experience from new graduates who are eager to develop, to experienced specialists. We are a market leader in aero engines for military transport and patrol aircraft, and also have significant scale in naval, and strong positions in combat and helicopter applications. We are pioneering more advanced and innovative power systems to ensure future combat air systems remain at the forefront of mission capability throughout their operational service. Work with us and we'll welcome you into an inclusive culture, one that invests in your continuous learning and development, and gives you access to a wide breadth and depth of experience. We offer excellent development, a competitive salary and remarkable benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. What you will be doing: Design Safety engineers influence design through understanding how failures will affect system operation, and analyse the resulting design, providing feedback on any impact this will have to the safety or reliability of the system and ensuring that the appropriate standards are met. This includes: Evaluation of design concepts (potential failures, failure consequences and product-level hazards) and to define hazard mitigation strategies. Evaluation of a component design to identify potential failure modes and their resulting failure effects and criticality (e.g. FMECA). Identification of critical and significant parts and systems through detailed analysis of product risk level. To analyse failures numerically using deterministic and probabilistic mathematical methods. Analyse and quantify risks associated with human / system interaction including Human Factors. Production of Safety Case reports. Operation of a Failure Reporting Analysis & Corrective Action System (FRACAS). Who we're looking for: Being a part of Rolls-Royce you'll know we embrace agility, are bold, pursue collaboration and seek simplicity in everything we do. These principles form our values and behaviours and are an essential component of our assessment process and are fundamental qualities that we seek for all roles. In addition, the following role specific skills are preferred: Qualification to degree level in a STEM subject and with experience in a relevant engineering environment (Mechanical, Aeronautical, Electrical or Controls). Good holistic approach to problem solving Analytical and logical approach. Familiarity with the design, operation and environment of gas turbine engines. Knowledge / experience of Safety & Reliability engineering techniques. We are an equal opportunities employer. We're committed to developing a diverse team and an inclusive working environment. We believe that people from different backgrounds and cultures give us different perspectives. And the more perspectives we have, the more successful we'll be. By building a culture of respect and appreciation, we give everyone who works here the opportunity to realise their full potential. You can learn more about our global Inclusion strategy at Our people Rolls-Royce To work for Rolls-Royce Defence you need to hold a Security Check (SC) clearance without any caveats to that clearance. Rolls-Royce will support the application for Security Clearance if you don't currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets, you must hold a UK nationality. Any dual nationals will require additional scrutiny and background checks prior to commencing work with RRSL. Job Category Engineering for Services Posting Date 07 Oct 2025; 00:10 Posting End Date 13 Oct 2025PandoLogic.

Supplier Quality Engineering Manager Permanent Position Home based with travel £50,000 - £60000 plus bonus, pension, flexible benefits scheme We are looking for a Supplier Quality Engineer with aerospace or complex industrial experience to take the lead in managing and developing a global supplier base. Working closely with procurement, engineering, operations, and fulfilment teams, you will be responsible for ensuring suppliers meet high quality standards, deliver on time, and support long-term operational performance. The Role As Supplier Quality Engineer, you will: Conduct early-stage supplier evaluations, assessing quality systems, organisational maturity, technical capability, and risk exposure. Lead technical assessments of new parts and work alongside design and manufacturing teams to ensure smooth onboarding of suppliers. Manage supplier qualifications, audits, and continuous improvement programmes. Drive supplier development initiatives to enhance performance, responsiveness, and delivery reliability. Act as the key link between suppliers and internal teams, ensuring strong communication and collaboration. What We're Looking For Strong background in supplier quality, supplier development, and continuous improvement. Experience working within complex industrial, aerospace, or energy environments. Hands-on knowledge of supplier assessment methods and quality management systems. Ability to influence and collaborate with both suppliers and internal stakeholders. Qualifications Bachelor's degree in Mechanical Engineering or similar (or equivalent industry experience, such as 10+ years in manufacturing or service). At least 5 years of professional experience in a quality role. Fluent in English, both written and spoken. Willingness and ability to travel locally and internationally at short notice. What's on Offer Hybrid working model with up to 40% remote flexibility. Flexible hours - shape your schedule around when you are most productive. Opportunity to work in a highly technical global supply chain environment. Career development and growth within a business committed to quality and operational excellence. INDSA

Job Description Nuclear Training Manager Full Time Raynesway, Derby An exciting opportunity has arisen for a Nuclear Training Manager to join Rolls-Royce Submarines in Derby. We're a leader in propulsion system design and development for the Royal Navy's nuclear submarine fleet, the sole provider and technical authority. The role reports to the Head of Engineering Operations within the Engineering and Technology function. The Nuclear Training Manager will be responsible for the identification, design, implementation, delivery and evaluation of high-quality technical product training to the UK Submarines Enterprise and partners. This role will ensure compliance with regulatory obligations and effective assurance processes. The Nuclear Training Manager will also be responsible for driving and maturing the business strategy in this area and implementing transformational improvements during a period of significant business growth. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. What you will be doing Leading and managing a department of instructional designers, content developers, training delivery professionals and a project delivery lead to deliver high-quality and impactful training solutions. Identifying and analysing opportunities for strategic growth of nuclear training Resourcing the department and driving delivery and operational effectiveness Establishing an environment that attracts, retains and develops high quality team members. This will include recruitment, managing performance, defining and implementing training plans, generating succession plans and looking after the safety and welfare of team members Overseeing the full lifecycle of nuclear product training programmes from conducting training needs analysis, designing and developing technically accurate and engaging material and ensuring effective delivery and evaluation. Developing and overseeing an internal assurance framework to ensure compliance with regulatory, and customer requirements Interfacing with internal and external stakeholders including the customer, senior management and counterparts across the Submarines Enterprise Champion learning innovation by staying up-to-date on emerging learning technologies and methodologies to aid identifying and leading improvements. Actively promoting, encouraging and supporting the identification and implementation of continuous improvement both within and outside their immediate sphere and prompt action across the wider team. Ensuring the team acts in accordance with the company codes, policies and behaviours Deputising for the Head of Engineering Operations and representing Rolls-Royce at a variety of internal and external meetings and events Occasional requirement for domestic and international travel Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Key skills, experience and knowledge: A degree level or equivalent in Education, Instructional Design, Organisational Development, HR Development, Engineering, or related field. Experience in leading teams or programmes in the skills, training, learning and development field, ideally in the defence industry. Experience of managing teams or individuals including pastoral care, performance management, development and recruitment Experience of managing projects with competing deadlines Experience of developing or adhering to internal governance/assurance processes and complying with regulatory requirements. Experience or awareness of instructional design methodologies (e.g., ADDIE, SAM, Bloom's Taxonomy) and learning evaluation frameworks (e.g., Kirkpatrick) Experience or awareness of developing and delivering training across multiple formats (e.g. instructor-led, eLearning, blended learning) Strong stakeholder management and problem-solving skills within a multi-functional and complex environment. Strong interpersonal and communication skills, with the ability to influence at all levels. To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Job Category Group Engineering (Operations) Posting Date 18 Sept 2025; 00:09 Posting End Date 28 Sept 2025PandoLogic.

ML Ops engineer with Data Science background (AWS services) - London/remote - £536 per day ML Ops engineer with experience i n data science, DevOps, and AWS SageMaker, along with a solid understanding of Agile software development principles. In this role, you will act as a bridge between Data Scientists and IT DevOps Engineers, helping translate experimental ML models into scalable, production-ready applications. You'll play a critical role in building practical solutions to real-world data science challenges, including automating workflows, packaging models, and deploying them as microservices using AWS services . The ideal candidate will be adept at developing end-to-end applications to serve AI/ML models, including those from platforms like Hugging Face, and will work with a modern AWS-based toolchain (SageMaker, Fargate, Bedrock). Your core responsibilities include: Serve as the day-to-day liaison between Data Science and DevOps, ensuring effective deployment and integration of AI/ML solutions using AWS services. Assist DevOps engineers with packaging and deploying ML models, helping them understand AI specific requirements and performance nuances. Design, develop, and deploy standalone and micro-applications to serve AI/ML models, including Hugging Face Transformers and other pre-trained architectures. Build, train, and evaluate ML models using services such as AWS SageMaker, Bedrock, Glue, Athena, Redshift, and RDS. Help create the knowledge artefacts for Data Scientist around DevOps and ML Ops. Where required, hand hold the data scientist and assist them with DevOps engineering issues, package installation issues, creating a Docker container, ML Ops tooling issues. Develop and expose secure APIs using Apigee, enabling easy access to AI functionality across the organization. Manage the entire ML life cycle-from training and validation to versioning, deployment, monitoring, and governance. Build automation pipelines and CI/CD integrations for ML projects using tools like Jenkins and Maven. Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization. Assist the product owner to define and implement the ML Ops roadmap. Support knowledge sharing and mentorship across data Scientists teams, promoting a best practice-first culture. What skills are required? Minimum skills: Degree in computer science, economics, data science or another technical field (eg maths, physics, statistics etc.), or equivalent relevant experience Strong programming proficiency in Python (or R), with practical experience in machine learning and statistical modelling. Proven experience delivering end-to-end data science products, including both experimentation and deployment. Solid understanding of data cleaning, feature engineering, and model performance evaluation. Essential skills: Demonstrated experience deploying and maintaining AI/ML models in production environments. Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra, Lambda, ECS Fargate, and Redshift. Familiarity with deploying Hugging Face models (eg, NLP, vision, and generative models) within AWS environments. Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks. Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments. Experience integrating with CI/CD pipelines and infrastructure tools like Jenkins, Maven, and Chef. Strong cross-functional collaboration skills and the ability to explain technical concepts to non technical stakeholders. Ability to work across cloud-based architectures. Tools & Technologies: AWS Services: SageMaker, Bedrock, Glue, ECS Fargate, Athena, Kendra, RDS, Redshift, Lambda, CloudWatch Other Tooling: Apigee, Hugging Face, RStudio, Jupyter, Git, Jenkins, Linux Languages & Frameworks: Python, R, Flask, FastAPI, SQL

Job Description Nuclear Training Manager Full Time Raynesway, Derby An exciting opportunity has arisen for a Nuclear Training Manager to join Rolls-Royce Submarines in Derby. We're a leader in propulsion system design and development for the Royal Navy's nuclear submarine fleet, the sole provider and technical authority. The role reports to the Head of Engineering Operations within the Engineering and Technology function. The Nuclear Training Manager will be responsible for the identification, design, implementation, delivery and evaluation of high-quality technical product training to the UK Submarines Enterprise and partners. This role will ensure compliance with regulatory obligations and effective assurance processes. The Nuclear Training Manager will also be responsible for driving and maturing the business strategy in this area and implementing transformational improvements during a period of significant business growth. Why Rolls-Royce? Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount. We are proud to be a force for progress, powering, protecting and connecting people everywhere. We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey. We'll provide an environment of caring and belonging where you can be yourself. An inclusive, innovative culture that invests in you, gives you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference. What we offer We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts. Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement. As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week. What you will be doing Leading and managing a department of instructional designers, content developers, training delivery professionals and a project delivery lead to deliver high-quality and impactful training solutions. Identifying and analysing opportunities for strategic growth of nuclear training Resourcing the department and driving delivery and operational effectiveness Establishing an environment that attracts, retains and develops high quality team members. This will include recruitment, managing performance, defining and implementing training plans, generating succession plans and looking after the safety and welfare of team members Overseeing the full lifecycle of nuclear product training programmes from conducting training needs analysis, designing and developing technically accurate and engaging material and ensuring effective delivery and evaluation. Developing and overseeing an internal assurance framework to ensure compliance with regulatory, and customer requirements Interfacing with internal and external stakeholders including the customer, senior management and counterparts across the Submarines Enterprise Champion learning innovation by staying up-to-date on emerging learning technologies and methodologies to aid identifying and leading improvements. Actively promoting, encouraging and supporting the identification and implementation of continuous improvement both within and outside their immediate sphere and prompt action across the wider team. Ensuring the team acts in accordance with the company codes, policies and behaviours Deputising for the Head of Engineering Operations and representing Rolls-Royce at a variety of internal and external meetings and events Occasional requirement for domestic and international travel Who we're looking for: At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles. Key skills, experience and knowledge: A degree level or equivalent in Education, Instructional Design, Organisational Development, HR Development, Engineering, or related field. Experience in leading teams or programmes in the skills, training, learning and development field, ideally in the defence industry. Experience of managing teams or individuals including pastoral care, performance management, development and recruitment Experience of managing projects with competing deadlines Experience of developing or adhering to internal governance/assurance processes and complying with regulatory requirements. Experience or awareness of instructional design methodologies (e.g., ADDIE, SAM, Bloom's Taxonomy) and learning evaluation frameworks (e.g., Kirkpatrick) Experience or awareness of developing and delivering training across multiple formats (e.g. instructor-led, eLearning, blended learning) Strong stakeholder management and problem-solving skills within a multi-functional and complex environment. Strong interpersonal and communication skills, with the ability to influence at all levels. To work for the Rolls-Royce Submarines business an individual has to hold a Security Check clearance. Rolls-Royce will support the application for Security Clearance if you do not currently already have this in place. Due to the nature of work the business conducts and the protection of certain assets we can only progress applications from individuals who are a UK national or, in MoD approved cases, a dual national. Job Category Group Engineering (Operations) Posting Date 18 Sept 2025; 00:09 Posting End Date 28 Sept 2025PandoLogic.

Full Stack AI Software Engineer - Full Remote UK - £90,000 + Equity This role requires a software engineer with experience in implementing RAG pipelines and Vector Search (and hybrid AI searches, preferably). The client I am working with is an AI focused start-up backed by a £1.7M pre-seed investment. They are on a mission to streamline the deal making process, with the founders having had firsthand experience of the lengthiness and challenges of deal processes in the past. Their stack spans across back end, front end, data and crucially AI.This is a great opportunity for an entrepreneurial software engineer who wants to play a part in shaping the technical vision of this business and work on their product from an early stage. What you'll work on: Backend APIs (Python/FastAPI): Build and maintain secure, high-performance services that drive AI features and data access at scale. RAG & vector search: Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React/Next.js): Deliver user-friendly, performant UIs that make AI-powered features (search, filters, explanations, citations) clear and accessible. Architecture: Shape a modular, scalable platform on AWS (ECS), separating ingestion, retrieval, reasoning, and delivery. Quality & reliability: Ensure reliability through testing, CI/CD, observability (metrics/tracing for LLM and retrieval paths), and performance optimisation. Collaboration: Partner with product and leadership teams, mentor peers, and play a role in shaping technical direction. Innovation: Explore and recommend new technologies, frameworks, and methods for both full-stack and AI development. Requirements: A motivated, hands-on engineer with an ownership mindset, strong communication skills, and a collaborative approach. 5+ years' experience in full-stack development. Strong background in RAG systems , vector databases (pgvector, FAISS, Weaviate, Elasticsearch k-NN), embeddings, and hybrid search methods. Practical knowledge of chunking strategies, indexing, precision/recall trade-offs, reranking, and evaluation techniques. Proficient in Python (FastAPI) and React/Next.js . Solid experience with both SQL and NoSQL databases (Postgres, DynamoDB, etc.). Exposure to LLMs, embeddings, and vector search APIs . Strong understanding of data engineering , schema design, ETL, and optimisation. Proficiency with cloud (AWS preferred) and containerised deployments (Docker, ECS). Knowledge of secure coding practices and managing sensitive data. Excellent communication, problem-solving, and leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech.

Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs Exposure to RAG architectures and vector stores (such as FAISS, Pinecone ) Prompt Engineer (AI & Data) - Could suit a Graduate / Junior or Experienced professional Location: Remote (M4 / M5 / M50 area preferred but flexible) Salary: £30-60k (depending on experience) Benefits: 29 days holiday (+BHs), Pension, Perkbox, Health Insurance, Employee Assistance Program, Investors in People (Gold) Are you an aspiring or experienced AI Prompt Engineer ready to develop and optimise natural language interfaces, prompt strategies and data pipelines for Healthcare Technology ? Join an innovative business with a reputation and commitment for improving the quality of people's lives . They are on a mission to empower and revolutionise how care is delivered to others through the effective use of intelligent support tools by leveraging LLMs, Prompt Design and Data & Knowledge Engineering . I'm seeking an AI Prompt Engineer to the join the R&D team and design, test and refine prompts , clean and map unstructured text and structured fields into usable metadata and semantic indexes for use in RAG systems and collaborate with product and design teams to embed LLM-powered assistants into customer facing healthcare support tools. What You'll Do Work across LLM design, structured data integration and real-world healthcare workflows Create prompt libraries Build pipelines to structure documents, notes, data and multimedia into formats consumable by LLMs/AI agents Support the delivery of features like in-context help, ai-powered insights, conversation-based documentation, and lookup assistants Build & run prompt evaluation frameworks and create feedback loops What You Bring Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs, documents, form data) Exposure to RAG architectures and vector stores (such as FAISS, Pinecone ) The ability to work with and communicate with multi-disciplinary teams at all levels of an organization Any experience in a professional services / regulated industry or knowledge of language / translation, transforming written content to voice or redacted content, multi-lingual interfaces, accessibility-focused UI/UX and/or voice-based interfaces would be ideal but not essential Why You'll Love It Here Be part of a "tech for good" healthcare business known for their focus on improving the quality of people's lives Working at the forefront of innovation with regards to AI's capability, usage and impact on the healthcare sector Positively impacting the 200,000+ users and millions of beneficiaries of my client's work Sound Like You? Let's talk! Click "Easy Apply" or message me directly to learn more.