51 to 75 of 90 Artificial Intelligence Engineering Jobs in England

modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms Influence technical direction and best practice in ML and AI engineering Mentor and support junior engineers and graduates Engage directly with clients to scope, design, and deliver operationally-ready AI and ML solutions … Lambda, S3) Knowledge of MLOps/LLMOps tooling (e.g., MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Ability to absorb complex scientific and technical concepts and apply them to operational solutions Strong communication skills for both technical ...

define architectural principles and strategic direction. As a senior technical leader in AI, you will foster a culture of innovation, continuous learning and engineering excellence—both within Kainos and across the wider industry. You will lead, mentor, and develop a community of data scientists, AI engineers, and technical … assuring advanced AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning, LLMs and agentic AI. Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and orchestration of agentic AI systems. Expertise in data engineering ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we bring together the unique ability to drive … operate always‐on enterprises. Build essential data platforms, products, and capabilities that empower clients and colleagues. Set and implement the strategic vision for Applied Intelligence’s data ecosystem, including data science and engineering. Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build ...

Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you’re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact … GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen ...

design of their ML infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised … growth potential Collaborative, mission-driven team with deep technical expertise Flexible hybrid working (London/Cambridge) Chance to shape both the product and engineering culture How to Apply For more information or to apply, please get in touch with me or used LinkedIn EasyApply. ...

LGBTQ+ business community. Please do not contact the recruiter directly. Lead AI Engineer (Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Lead … scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We’re Looking For Bachelor’s degree or higher in Computer Science, AI, or related STEM fields Hands ...

Requirement: 3 days Duration of Assignment: 6 Months The Role Cloud Security Engineer Cloud/AI (LLM Security) Your Responsibilities Deliver cloud security engineering capability focused on securing AI, LLM, and cloud-native workloads, with AWS as the primary environment and Azure as a secondary platform. Implement … secure cloud architectures and controls, ensuring AI/LLM workloads comply with organisational security standards and cloud security policies. Work with architects and AI engineering teams to define secure patterns for LLM deployments, AI agents, and model pipelines across cloud environments. Engineer and operationalise cloud-native security tooling ...

entire software stack. We are hiring founding engineers with different strengths; you are not expected to be senior across all three domains. AI Engineering •⁠ ⁠Prompt engineering and LLM orchestration •⁠ ⁠Building evaluation frameworks and feedback loops •⁠ ⁠Deploying and operating AI systems reliably in production Data Engineering … authentication flows, and production reliability You should demonstrate applied excellence in at least one of these areas, with demonstrated interest across multiple. Core Engineering Philosophy We care deeply about leverage as an engineering principle. We want you to help us build the system that builds ...

days onsite) Salary: Competitive (DOE) Must be eligible for SC Clearance The role: Youll be working across the full lifecycle from data engineering and pipeline design through to building and deploying machine learning models into production. This isnt just modelling its about delivering real, scalable AI solutions … cutting-edge AI and data projects at scale This is ideal for someone who wants to move into more end-to-end AI engineering work, combining data engineering, machine learning, and cloud deployment. ...

London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead … code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‐native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‐tolerant systems. Nice-to-Haves: TypeScript a plus; SQL proficiency for data work. Bridges ...

level, you will be hands on, guiding teams through the transition from POC to early adoption and general release and help establish sustainable AI engineering practices across the department. The engineer will collaborate closely with data scientists, bioinformaticians, and domain experts to deliver intelligent solutions for knowledge extraction … engineering best practices for GenAI/LLM applications, including system design patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle. Act as a technical leader by mentoring engineers, influencing architectural direction, and driving the successful delivery and adoption of GenAI capabilities across ...

people they work with, then youve come to the right place! Role description: This is not a slide-making or prompt-engineering role. We are looking for someone who has built multi-agent AI systems that run in production - not demos, not pilots that died after a sprint. … teams Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end Team & Practice Mentor junior AI engineers; raise AI engineering quality across the delivery team Stay current: evaluate new models, frameworks, and tooling before the hype catches up Contribute to internal knowledge bases ...

myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please … strong engineering discipline. In this role, you'll help shape the future of our AI‐enabled enterprise platforms by bringing together AI engineering, software architecture, and data science to deliver systems that are scalable, secure, and responsibly designed. You'll focus on turning real business needs ...

myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. To start a career that is out of the ordinary, please … strong engineering discipline. In this role, you'll help shape the future of our AI‐enabled enterprise platforms by bringing together AI engineering, software architecture, and data science to deliver systems that are scalable, secure, and responsibly designed. You'll focus on turning real business needs ...

enhancements to existing AI capabilities, providing operational insight to inform decisions. Translating business and product priorities into clearly defined delivery backlogs for the AI engineering teams. Overseeing delivery of incremental enhancements, ensuring changes are tested, validated and deployed safely. Delivery and transition to operations Accountable for transitioning … remote, India-based engineering team covering platform, data and AI specialisms . Providing clear direction, priorities and outcomes for the AI engineering teams. Ensuring delivery capacity is aligned to agreed priorities and service commitments. Governance, risk and assurance Ensuring AI solutions operate in line with digital ...

enhancements to existing AI capabilities, providing operational insight to inform decisions. Translating business and product priorities into clearly defined delivery backlogs for the AI engineering teams. Overseeing delivery of incremental enhancements, ensuring changes are tested, validated and deployed safely. Delivery and transition to operations Accountable for transitioning … remote, India-based engineering team covering platform, data and AI specialisms . Providing clear direction, priorities and outcomes for the AI engineering teams. Ensuring delivery capacity is aligned to agreed priorities and service commitments. Governance, risk and assurance Ensuring AI solutions operate in line with digital ...

Lead AI Engineer London (Hybrid) | £85,000 + 10% bonus This is a genuinely hands on lead AI engineering role where you will help shape how AI is designed, built and used across a large, established organisation. You will work closely with a newly formed AI leadership team … APIs, backend services, automation workflows and data pipelines that support AI capabilities. Deploying, monitoring and iterating on AI solutions in live environments. Setting engineering best practice and mentoring other AI engineers within the team. Working closely with product and non technical stakeholders to ensure solutions deliver measurable business ...

IT. This is a hands-on, technically grounded leadership role for an individual who thrives at the intersection of AI product management, MLOps engineering, and cloud architecture. In this role, you will own the end-to-end delivery and lifecycle management of AI-powered products and platforms, from … iterating AI products based on real-world usage and impact Ensure AI products deliver tangible commercial outcomes and align with enterprise strategy MLOps & AI Engineering Design, implement, and manage scalable MLOps pipelines covering model training, evaluation, deployment, monitoring, and retraining Establish and enforce ML governance standards, including model ...

Surrey, UK ( Office based ) Details: Full-Time | Truly competitive salary + Bonus + unrivalled benefits A global software company is evolving its core engineering platforms by embedding machine learning and applied AI into high-performance simulation and modelling tools used worldwide. This is a hands-on applied AI … role — focused on building and deploying ML solutions inside production-grade engineering systems, not isolated research or experimental prototypes. The position: You’ll design, build, and deploy machine learning models that directly enhance complex engineering software products. Expect a blend of ML engineering, software ...

domain, ensuring that AI-driven insights are built on a foundation of robust, scalable, and high-performance engineering. Key Responsibilities: Lead cross-functional engineering teams to design, build, and deliver data-intensive platforms and AI-powered solutions aligned to strategic business needs. Oversee end-to-end delivery across … business functions and stakeholder requirements. Knowledge of Agentic Workflow/orchestration is considered a distinct advantage. Familiarity with spec-driven development and new AI engineering practices to deliver an automated SDLC is an advantage Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

AI, LLMs, and agentic systems to solve one of the biggest challenges in drug development, drug safety and toxicity. By combining cutting-edge AI Engineering with real-world scientific research, they are unlocking failed drug candidates and giving them a path to become safe, effective treatments. … running and evaluating agentic systems in production or be developing this through hands-on projects, but you'll have a clear interest in AI Engineering, Generative AI, and real-world application of LLMs. Experience working in fast-paced environments, collaborating across disciplines, and turning complex problems into working ...

real‐time trading decisions, while mentoring teams and driving client relationships at the highest level. You will go toe‐to‐toe with senior engineering stakeholders in fast‐paced trading environments, influencing architecture, operating models, and data strategy. Key Responsibilities: Technical Leadership Architect and deploy complex, distributed systems, with … Additional experience that would be useful but not required includes Kubernetes, pricing & risk engines, working with quants, emerging technologies like AI in trading, AI engineering Why Indicium AI Fast‐growing start‐up organisation with huge opportunity for career growth Highly competitive salary package along with company bonus ...

APAC. The business is scaling quickly and is building a team that cares about delivering compliance technology properly, with a focus on strong engineering, practical process and scalable product development. The Role They are hiring a Senior Ruby on Rails Developer to join their backend engineering … coding, refactoring, testing, documentation and workflow improvement. This could include practical use of tools such as: OpenAI Codex Claude Code GitHub Copilot Similar AI engineering tools You should understand where AI can improve delivery and productivity, but also where strong engineering judgement is still essential. What ...

development and delivery of advanced AI solutions and ensure technical excellence across the business unit. Advise on solution architecture, advanced modelling and engineering best practices. Identify and implement new tools and processes to enhance delivery quality. Team Leadership and Strategy Define and champion the technical vision … experience deploying commercially valuable AI applications in financial services. Experience leading full-stack technology teams, with a solid grasp of systems architecture and engineering fundamentals. Knowledge of the financial services landscape, including commercial drivers and the ability to articulate how AI can accelerate business outcomes. Strong communication skills ...

Applied AI Engineer to design and deliver production-grade AI-powered features within a modern .NET product environment. This is a hands-on engineering role focused on applying AI in real systems not training models. Youll work with commercial AI platforms such as Anthropic Claude, AWS Bedrock … Integrate commercial AI APIs into production systems with a focus on reliability, scalability, and cost control Establish and promote best practices for applied AI engineering across the codebase Lead by example using AI-assisted development workflows Support and mentor engineers adopting tools such as Claude Code or Cursor ...