101 to 125 of 159 Artificial Intelligence Engineering Jobs in England

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

Trainee AI Programmer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

about what this opportunity entails, as well as what is expected from applicants. Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready … skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step ...

Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem. You Are As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI … Readiness: Ensure agentic applications meet enterprise-grade standards for security, reliability, and compliance. Team Leadership: Mentor and manage cross-functional teams across DevOps, AI engineering, and client enablement. Client Enablement: Collaborate with solution architects to tailor deployments for client environments and ensure seamless onboarding. Travel may be required ...

JSON APIs. Implement monitoring, evaluation, A/B testing and cost or latency dashboards. Contribute to broader AI architecture and help shape engineering patterns and strategy. Work closely with engineering, ML Ops and data teams to bring models and prototypes … into stable, scalable production. SKILLS AND EXPERIENCE The successful Lead AI Engineer will have the following skills and experience: Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. Deep expertise in GCP including Vertex ...

Collaborating with engineering, product, and operations teams to take roadmap concepts into production Your Skills and Experience • Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems • Expertise in deploying AI models and agents at scale … including RAG, embeddings, and LLM tooling • Hands‐on cloud engineering experience, ideally in GCP and its AI ecosystem • Strong Python engineering ability and experience building production‐grade services • Experience working with vector search, data ingestion, observability, and experimentation frameworks • A STEM background or equivalent technical capability ...

Join this rapidly scaling AI-native Fintech start-up that’s already raised a significant Series A and is now building its core AI engineering team . This is a career-defining role , and given the NOISE in the AI job market right now, this is the AI … ferocious pace = RAPID career growth for you. Experience required Educated to at least degree level in a relevant subject; Mathematics, Statistics, Machine Learning, Engineering, Science etc. 4+ years in AI/ML engineering with a foundation in software engineering OR a recent move from ...

building real-world AI products that deliver business value at speed. This role is ideal for seasoned engineers who combine strong software engineering fundamentals with a pragmatic, hands-on approach to AI tooling and infrastructure. What you’ll be doing Designing, building, and maintaining production-grade AI applications … data scientists, product managers, and engineers to ensure reliable end-to-end delivery. Contributing to internal tooling, documentation, and best practices to scale AI engineering capability. What we’re looking for Several years of professional software engineering experience , with a track record of shipping complex systems ...

broader Microsoft tooling. This role suits someone who is highly autonomous, delivery‐focused, and capable of handling a wide mix of early-stage engineering, documentation, prototyping and solution shaping This role is based in London. … This role will be Via Umbrella. Working in a Hybrid Model of 2 days a week on site. What You’ll Be Doing: AI Engineering & Build Designing and building AI solutions using: Azure AI Foundry M365 Agents Copilot extensions/plugins Micro stack orchestratinsmkl1on Python as the primary ...

integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans Own delivery quality: reliability, performance, observability, iteration Collaborate across engineering, data, operations, and product teams What they’re looking for 4-6+ years of industry experience Strong Python and SQL Hands-on GenAI … operating independently with real ownership Solid stakeholder management and ability to explain clearly to non-technical audiences DS background that has moved into AI engineering/LLM product delivery is ideal Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below. ...

Azure or GCP) DevOps tooling: Kubernetes, CI/CD, GitHub, GitOps Customer-facing technical delivery experience Background in Machine Learning, Data Science or AI Engineering This role suits a Senior Machine Learning Engineer, Applied AI Engineer, AI Solutions Engineer or LLM Engineer who enjoys client impact, rapid prototyping ...

winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting … concepts • Design and implement RAG pipelines and agentic workflows • Define evaluation frameworks for LLM quality and response accuracy • Partner with product and engineering on chat flows and continuous improvement • Contribute to AI platform architecture and best practices • Mentor junior ML/AI engineers (no formal line management ...

senior, hands-on consulting role combining deep technical leadership with strong client presence, shaping both client outcomes and the firm’s long-term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval … client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design and deliver production-grade AI systems for external clients, including: LLM applications using modern orchestration patterns, prompt ...

that go into production, and wants to learn from experienced engineers in a fast-moving environment. You’ll be part of a modern engineering function working on large-scale data and AI products, contributing to model development, data pipelines, and deployment workflows that power mission-critical platforms. … career in a supportive, high-impact environment, we’d love to hear from you. 👉 Apply now and take the next step in your AI engineering career. ...

research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems … systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 7+ years in software engineering, applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with ...

joining at a time where you a genuinely needed and can have an immediate impact! Their ideal candidate will have a software engineering background who is now an AI Engineer working with LLMs You will: Design and build LLM-powered applications Develop Python-based microservices Build AI agents … integration into applications, deployment and product ionisation Proficiency with python Having built microservices If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

will be immediately valued and where you can make a meaningful impact from day one. The ideal candidate will come from a software engineering background and now be working as an AI Engineer with experience integrating LLMs into applications. You will: Design and develop applications powered by LLMs … integrating LLMs into applications, including deployment and product ionisation Strong Python skills Experience building microservices If you are interested in this or other AI Engineering positions, please contact Gilad Sabari @ gilad.sabari@xcede.com ...

shape high‐value use cases. Drive best‐practice engineering and MLOps standards. Requirements Strong experience in ML engineering, AI engineering, or applied data science. Proven track record deploying AI/ML solutions into production. Expertise with ML frameworks (scikit‐learn, XGBoost, PyTorch, TensorFlow, LightGBM … . Solid experience with LLMs, prompt engineering, RAG, and evaluation. Strong software engineering and MLOps skills (CI/CD, containers, monitoring, model registries). Background in personalisation, recommendation systems, optimisation, CRM/marketing analytics, or conversational AI is beneficial. Please note: this role cannot provide VISA ...

Salary up to 85000 depending on experience. • Hybrid working, three days in the office. • The chance to grow quickly in a newly established AI engineering capability. • Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant ...

alpha generation. You will be working directly with front office users who sit on the desk. You will be using Python and AI engineering techniques to pioneer something at the forefront of the market, with a globally renowned hedge fund. Multiple hires at multiple experience levels on offer. ...

Salary up to 85000 depending on experience. * Hybrid working, three days in the office. * The chance to grow quickly in a newly established AI engineering capability. * Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant ...

growing Data and AI function at a pivotal moment. You will play a key role in building production-ready AI systems, shaping engineering standards, and driving high-impact automation projects with direct influence on business performance. The Company They are a tech-led insurance provider with a strong … days a week in either London (South West) or Sheffield. * Clear impact on product performance and business outcomes. * Opportunities to shape an emerging AI engineering function. * Long-term career growth as the AI team scales. How to Apply Please apply with your CV to register your interest ...

drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart … customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build ...

total package Bonus + cash benefits included Hybrid working model 3 days per week on site Market-leading training and certifications across AI, engineering and leadership A clear progression pathway into senior strategic and leadership roles Access to large-scale enterprise AI projects and next-gen tooling Innovation ...

degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. More than five years of advanced data science/AI engineering experience in industry. Proven experience delivering full-cycle AI software and deploying production-ready solutions. Strong proficiency in Python and core AI/… ability to provide strategic architectural guidance. Desired Skills and Experience: Experience in reliability, corrosion, WRFM (well and reservoir facility management), process engineering, or advanced sensing technologies. Exposure to downstream customer platforms and trading ERP systems. Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic. Familiarity ...