10 jobs found

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; thei click apply for full job details

AI Architect (Generative & Agentic AI) Permanent Location: London (onsite twice a week) Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus Shape the next generation of enterprise AI We're looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments. This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery. You'll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact. The Role: As an AI Architect, you'll operate at the intersection of strategy, solution design, and delivery. You will: Lead discovery and design of AI-led solutions aligned to business outcomes Architect and scale GenAI, RAG, and Agentic AI systems in production Advise senior stakeholders on AI strategy, feasibility, and roadmap Act as a technical authority during bids, proposals, and client workshops Guide engineering teams through complex implementations This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms. Key Responsibilities: Client & Stakeholder Engagement Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions Act as a trusted advisor in workshops, discovery sessions, and solution design discussions Support RFI/RFP responses and client presentations with clear, credible technical direction Solution Architecture & Delivery Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP) Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows Select appropriate models, frameworks, orchestration tools, and evaluation approaches Ensure solutions are secure, scalable, observable, and production-ready Technical Leadership & Innovation Lead and mentor teams of AI and software engineers Drive best practices across MLOps / LLMOps, governance, and AI observability Contribute to reusable accelerators, reference architectures, and go-to-market offerings What We're Looking For: Essential Experience & Skills: Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation Strong understanding of: Prompt engineering RAG pipelines Model fine-tuning (supervised / unsupervised) MLOps / LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP) Solid software engineering foundations for building scalable, maintainable systems Experience leading or guiding teams of AI / software engineers Consulting & Communication: Strong stakeholder management and communication skills Comfortable translating complex AI concepts into clear business value Experience supporting proposals, bids, and client presentations Why Apply? Work on meaningful, enterprise-scale AI transformation programmes Shape AI strategy and architecture, not just build proofs of concept High visibility, senior-level role with real influence Continuous exposure to modern AI tooling, frameworks, and delivery models Strong investment in learning, innovation, and professional development

Robert Half has partnered exclusively with a client in Birmingham who are looking for a proven senior leader to take charge of their data science strategy and drive the next wave of AI innovation. This is a permanent opportunity, with hybrid working, paying up to £95,000 with great benefits such as bonus and car allowance. This role requires someone who can operate at executive level, set vision, and deliver impact while building out teams, platforms, and solutions that scale across the business. The Role Own the organisation-wide data science strategy, with a focus on Generative AI, ML, and advanced analytics Be the senior voice on AI, influencing board-level discussions and shaping how data science drives commercial outcomes. Establish an AI Centre of Excellence to embed data-driven thinking across all functions. Deliver enterprise-scale GenAI solutions (e.g. copilots, virtual assistants, RAG systems) and lead classical ML initiatives. Define governance and ethical standards for responsible AI adoption. What We're Looking For Extensive senior leadership experience leading large, enterprise data science functions. A strong track record of delivering production-grade AI/ML solutions and driving adoption at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. Exceptional stakeholder skills - able to translate complex technical work into board-level strategy and outcomes. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: gb/en/privacy-notice.

Global Leader in software supply chain for DevOps, DevSecOps, and MLOps is seeking a pre-sales focused Solutions Architect to work closely with strategic customers and prospects. This role is ideal for someone who thrives at the intersection of technology and business, and who enjoys driving impactful conversations with technical and executive stakeholders. This is a hybrid role based out of London, with three days per week in the office. Excellent + OTE + Bens + Stock Key skills for the Solutions Architect - DevOps Significant experience in technical pre-sales, solutions architecture, or similar roles Strong relationship-building skills with both technical users and senior stakeholders in enterprise environments Practical knowledge and hands-on experience with Docker, Kubernetes, CI/CD pipelines, Git workflows, and build tools Familiarity with application security tools such as SCA, SAST, SBOM management, and container security Ability to build and manage modern software pipelines using diverse DevOps tooling Solid hands-on experience with major cloud platforms (AWS, Azure, GCP) - mandatory Background in software development is a significant advantage K ey responsibilities for the Solutions Architect DevOps - include Engage with customers to ensure their success in their DevOps and DevSecOps journey leveraging the software supply chain Platform Support Sales motion and significantly contribute to the customer journey to build technical wins and championship Train our customers, prospects and community about product offering and solutions Represent the company in events and conferences Influence the features and roadmap of products based on customer needs Stay current with the latest technology trends related to the DevOps and DevSecOps landscape Join a company trusted by thousands of enterprise customers software engineering teams to deliver secure continuous updates, and is used by the majority of the Fortune 100, and help shape the future of secure and efficient software delivery. Opus Resourcing acts as an employment agency with respect to permanent employment. Skills: CI/CD, AZURE, GIT, DEVOPS, DOCKER, KUBERNETES, AWS,presales,Security,cloud platforms,Application Security,SAST,Sales Engineering,Technical Sales Consulting,Pre-Sales Technical Consulting

If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

Director of AI Manchester (Office Based) Excellent Salary + Bonus + Benefits Are you a visionary AI leader ready to shape the future of enterprise AI; from strategic roadmap to hands-on implementation? Join a fast-scaling, international SaaS company that's transforming its industry through relentless innovation, advanced product development and investment in next-generation AI solutions. This is a rare, high-impact opportunity to define and drive the end-to-end AI agenda of a multi-award-winning business backed by a world-class leadership team. As Director of AI, you will own the company's AI vision - leading strategy development, technical execution, and operational scaling across Machine Learning, Generative AI, Large language Models and beyond. Your leadership will directly influence product innovation, operational excellence, and commercial success. Role Overview Define and drive the enterprise AI strategy - identifying opportunities for innovation, automation, and market differentiation using advanced AI/ML technologies. Own the full lifecycle of AI initiatives, from vision and roadmap to technical architecture, delivery, optimisation, and governance. Build and lead cross-functional AI teams, ensuring alignment between technical execution and strategic business goals. Evaluate emerging technologies (e.g. LLMs, RAG, vector search, knowledge graphs) and make evidence-based recommendations to stakeholders. Establish best practices for responsible AI development, including risk management, compliance, and explainability. Partner with senior leadership to integrate AI into core business functions and customer-facing products at speed and scale. What You Bring Proven leadership in delivering enterprise-scale AI strategies, ideally in a high-growth SaaS or technology-led environment. Strong academic or practical background in AI, ML, Data Science, Computer Science or a related STEM field. Demonstrated hands-on expertise in building and deploying advanced ML and Generative AI models in production (including RAG Architecture) Deep technical proficiency with LLMs, NLP, Python, SQL, and major AI/ML frameworks (e.g., PyTorch, TensorFlow). Strong understanding of AI engineering fundamentals including DevOps, CI/CD, MLOps, and DevSecOps. Experience building AI governance frameworks to address ethical risk, model accuracy, and regulatory compliance. Why Join? This is a career-defining opportunity to shape the AI strategy of a high-growth, global and entrepreneurial organisation. You'll work alongside a visionary leadership team and have the autonomy to innovate, influence, and scale AI solutions that have real-world commercial impact. Enjoy a highly competitive compensation package, including: Excellent base salary Generous performance-based bonus Private healthcare, pension scheme, and premium benefits A dynamic, innovation-first culture with real career progression DAI(phone number removed)AM INDAMS

Senior Ruby Engineer Scale-Up Tech Company - Remote (Anywhere in the world) Up to £80,000 Are you ready to take your career to the next level? We're working with one of the fastest-growing tech companies in the world, and they're on the lookout for an experienced Senior Ruby Engineer to join their expanding team. This is a chance to build and scale products used by millions globally, in an environment that thrives on innovation, ownership, and speed. Why this role? Join a high-growth scale-up with 30M+ users and bold ambitions for the future. Be part of a tight-knit engineering team, working directly alongside the CTO and product leads. Contribute to building large-scale, user-facing products at the cutting edge of AI and digital experiences. Play a pivotal role in shaping the technical roadmap and experimenting with new ideas. What you'll be doing: Leading back-end development with a strong focus on Ruby on Rails. Collaborating with product managers to refine specs and shape solutions. Preparing integration plans, estimations, and delivering high-quality, production-ready code. Reviewing PRs, ensuring best practices, and mentoring mid-level engineers. Driving innovation while maintaining a strong user-first mindset. ? What we're looking for: 5+ years' experience as a back-end or full-stack engineer, with recent, hands-on Ruby on Rails expertise . Proven experience scaling products used by thousands (or millions!) of users. Strong background in agile, fast-paced environments (start-ups, scale-ups, or similar). Excellent communication skills and fluency in English. Ownership mentality - someone who takes pride in building and delivering great products. Comfortable working on products that may involve uncensored or NSFW content. ? Nice-to-haves: Knowledge or interest in generative AI, NLP, ML, or MLOps. Experience working with globally distributed teams. Salary & Perks: Up to £80,000 base salary. Fast-paced, innovative culture with a global reach. Work alongside founders with proven track records of building and scaling successful businesses.

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in London, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern East End office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.

A rare chance to take on a global ML leadership role in a high growth SaaS analytics company in Edinburgh, where machine learning is central to product and strategy. The Opportunity This is a chance to lead the development of sophisticated machine learning systems that deliver Real Time, mission critical insights for clients around the world. You'll tackle some of the most complex challenges in Real Time analytics and forecasting, driving innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the latest GPU and cloud technologies. You'll head up a high calibre, multidisciplinary team dedicated to advancing machine learning capabilities, turning complex data into actionable insights that empower decision making at the highest level. The Company This is a modern, globally recognised SaaS company operating at the forefront of data analytics. With a strong focus on innovation, they deliver high value insights to clients making fast, high stakes decisions in complex markets. The business has built a deeply technical, forward thinking engineering culture where machine learning isn't just a function, it's a core capability. Actively leading the way in applied ML development, they invest heavily in modern tools, infrastructure, and talent to stay ahead of the curve. Why this role? * Own the full machine learning life cycle from research to Real Time production at scale. * Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. * Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. * Lead a team passionate about experimentation, rigor, and rapid iteration in a collaborative environment. * Have a seat at the table with senior stakeholders and global clients, influencing the direction of the business and technology. Who you are: * A seasoned machine learning professional with experience leading teams and delivering production ML systems in demanding environments. * Expert in diverse modelling techniques, including tree based models, advanced neural networks and hybrid models. * Skilled in optimisng ML for Real Time serving think quantization, pruning, and distillation. * Proficient with modern MLOps practices and tooling, handling everything from model governance to scalable deployment pipelines. * Comfortable working hands on with Python, GPU acceleration, and distributed computing frameworks. * A confident communicator and collaborator, able to bridge technical innovation with business impact. The offer: You'll receive a highly competitive salary plus bonus opportunity and a comprehensive benefits package including private healthcare, enhanced pension, generous annual leave, and wellbeing support. The role offers flexible hybrid working, with just two days per week onsite in a modern Edinburgh city centre office. It's a unique opportunity to lead machine learning within one of the most advanced SaaS analytics platforms operating today where you will play a critical role in shaping word class machine learning capabilities. If this sounds interesting, please apply or reach out to Murray Simpson.