26 to 50 of 91 Artificial Intelligence Engineering Jobs in the North of England

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 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 ...

part of Agile, multidisciplinary delivery teams.What We're Looking ForWe are looking for someone with a strong background in Data Engineering, AI Engineering or a similar technical discipline, who has experience taking ownership of technical delivery and leading others.You should be able to demonstrate:Experience working … need to be an expert across every area. We are open to candidates with either a stronger Data Engineering or AI Engineering background, provided you have an interest in developing your skills across the wider Data and AI landscape.About YouYou will be someone who enjoys getting ...

performance and continuously optimise AI systems * Mentor and develop a small team of engineers while promoting best practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with … heavily in their AI and development functions, click 'Apply Now' or send your CV directly to matthew leach @ circle recruitment Keywords: AI Engineer/Artificial Intelligence/Software Engineer/Python/Java/JavaScript/Manchester Circle Recruitment is acting as an Employment Agency in relation ...

contributing to our internal communities and best practices.* Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks.* Experience working in a major Consulting firm, and/or in industry but having ...

solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance. Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads ...

writing high‐quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) — delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure ...

writing high-quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) - delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure ...

that period.RequirementsYou will combine hands-on architecture with senior leadership, owning complex areas of delivery and bringing the best of modern data and AI engineering to public sector and regulated clients.You will have:- Proven experience (8+ years) in data, analytics and AI platform architecture, design and delivery- Expertise ...

Generation (RAG) solutions Writing, developing and optimising prompts for LLM applications Developing and testing APIs to integrate AI services and enterprise systems Building AI engineering solutions using Python and SQL Testing and evaluating AI/LLM outputs for quality, accuracy and reliability Integrating AI solutions with enterprise data … programme at the intersection of AI Agents, Generative AI, RAG and enterprise technology. KEY SKILLS AI Engineer/AI Agents/Agentic AI/Artificial Intelligence/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/Prompt Engineering ...

Generation (RAG) solutions Writing, developing and optimising prompts for LLM applications Developing and testing APIs to integrate AI services and enterprise systems Building AI engineering solutions using Python and SQL Testing and evaluating AI/LLM outputs for quality, accuracy and reliability Integrating AI solutions with enterprise data … AI Agents, Generative AI, RAG and enterprise technology. Apply now for immediate consideration. KEY SKILLS AI Engineer/AI Agents/Agentic AI/Artificial Intelligence/Generative AI/GenAI/LLM/Large Language Models/RAG/Retrieval-Augmented Generation/Prompt Engineering ...

Design & Innovation practice. Above all, you’ll be supported to build a leadership career, not just deliver projects. Whether that’s deepening your AI engineering specialism, strengthening your people leadership skills, or progressing towards Senior Manager and beyond, you’ll have the backing, flexibility, and development opportunities ...

contributing to our internal communities and best practices. Capability Development - Contribute to thought leadership, blog posts, or internal accelerator development in emerging AI engineering topics such as Agentic AI, LLMOps, or evaluation frameworks. YOUR PROFILE We’d Love To Meet Someone With Experience working in a major Consulting … address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market-leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported ...

and implementation of AI capabilities within a Finance AI platform. This is a hands‐on technical leadership role focused on establishing scalable AI engineering patterns, accelerating delivery, and mentoring development teams. The ideal candidate will combine strong cloud‐native engineering expertise with practical experience building … frameworks, and best practices for AI engineering. Design and oversee LLM, RAG, and Agentic AI integrations within enterprise environments. Collaborate with architects and engineering teams to ensure scalable, secure, and maintainable solutions. Define standards for AI observability, governance, security, and performance. Mentor engineers and provide technical leadership across ...

Data Science and Machine Learning background who has evolved into delivering production AI solutions. You'll combine expertise across AI, ML, LLMs, data engineering and enterprise infrastructure to design, develop and implement AI solutions that create genuine business value. Working closely with IT, commercial stakeholders and operational teams … idea through to delivery. You'll come from a Data Science or Machine Learning background but will also have developed strong capabilities across AI engineering, data engineering and enterprise infrastructure. Equally comfortable discussing strategy with senior stakeholders or building production AI solutions, you'll enjoy collaborating ...

checks to strengthen the multidisciplinary delivery team. Alongside the DDaT competencies, given the scale of this programme, hands-on depth across the modern AI engineering stack is essential, not just RAG in isolation: Semantic search, vector/embedding infrastructure, and retrieval architecture design LLM orchestration and agentic frameworks … deployment pipelines, monitoring, and rollback for AI services in production Fine-tuning and parameter-efficient adaptation techniques where appropriate to use case Data engineering for AI: ingestion, cleaning, and lineage across Legacy and multi-cloud sources Infrastructure-as-Code and CI/CD practices adapted for AI workloads ...

execute planning workflows Own the team's delivery roadmap, working closely with product management to prioritise features and manage technical trade‐offs Establish engineering best practices for AI development, including testing strategies, evaluation frameworks, and deployment patterns Lead sprint planning, technical design reviews, and retrospectives to ensure consistent … engineers and build cohesive, productive teams Experience leading teams in fast‐growing startups or enterprise software companies Knowledge of financial planning, analytics, or business intelligence domains Experience with RAG systems, vector databases, and semantic search Familiarity with model fine‐tuning, evaluation, and continuous improvement workflows Background in distributed systems ...

organisation. You will operate at a senior technical level, working across Azure infrastructure, AI platform engineering, security, MLOps, FinOps and AI engineering teams to create a secure, scalable and reusable AI platform. The successful candidate will combine deep Azure architecture expertise with hands‐on experience … AI consumption, including token usage and model utilisation. Establish budgets, alerts, quotas and resource controls to manage consumption‐based AI costs. Work with engineering and finance stakeholders to identify opportunities to optimise AI platform expenditure without compromising performance or service quality. MLOps, Automation & Platform Engineering Design ...

Group is hiring for a permanent AI engineering role based in the United Kingdom. You will design, develop and drive the adoption of AI agents and automation across the business, taking ownership of standards and solutions that shape our future. Based in Wigan with hybrid working (home ...

scale! You'll help define our AI capability roadmap, influence technical direction across multiple teams and support the growth of data science and AI engineering capability across the Platform! This is an opportunity to work with talented colleagues, solve meaningful problems and influence how AI is applied … experimentation and model development through to deployment, monitoring and continuous improvement. Provide technical leadership across large, multi-team programmes, helping teams make sound engineering and architectural decisions. Partner with product, engineering, data and business teams to deliver scalable AI-powered products and services. Embed responsible AI ...

operations frameworks that bring innovative solutions to life across our organisation. You’ll design and deliver new tools, components of the framework and engineering practices that turn cutting‐edge models into high‐performing, production‐ready systems. In this highly collaborative role, you’ll coach and guide a small … motivating for high performance and managing under‐performance where necessary What’s involved: You’ll continue to grow and evolve our Machine Learning & AI Engineering standards and frameworks. You’ll design further enhancements to the data pipelines and engineering infrastructure to embed scaled machine learning & AI ...

business consulting, and AI innovation. Working alongside clients, you'll transform and develop ambitious business objectives into practical, scalable Salesforce solutions powered by automation, intelligence, and next‐generation AI capabilities. You'll be expected not only to solve today's challenges but to help clients prepare for an increasingly … building the autonomous agents and intelligent features that make it real and setting the standard for how Salesforce AI Engineering is done. We are a Disability Confident Employer Capgemini Is Proud To Be a Disability Confident Employer (Level 2) Under The UK Government's Disability Confident Scheme. ...

Implement and continuously improve machine learning and AI operations frameworks Design and deliver tools, framework components and engineering practices for production-ready ML and AI systems Coach and guide a small team of MLOps … Engineers, Analytics Engineers and AI Engineers Collaborate with Data Science, Pricing, Data Engineering and Software Development teams Evolve Machine Learning and AI Engineering standards and frameworks Enhance data pipelines and engineering infrastructure for scaled ML and AI solutions Support data acquisition, transformation, model discovery ...

increasingly draws AI into workflows as a step, such as LLM calls to classify, extract or summarise, working in close partnership with the AI Engineering team, which owns agents, LLM-powered applications, prompt engineering, evaluations and AI safety. ESSENTIAL DUTIES AND RESPONSIBILITIES Act as Waystone … observability. Embed AI as steps within workflows, such as LLM calls to classify, extract or summarise, consuming capabilities and patterns provided by the AI Engineering team, and preferring deterministic automation where it is safer, simpler or more cost effective. Ensure automations that consume AI do so responsibly, operating ...

AI technologies, value clean, reliable solutions, and want to deliver practical, business-focused outcomes. Applicants may have a background in either Data or AI engineering, with a keen interest in driving value from data using modern AI and analytics techniques. Applicants must have experience leading project teams, providing … setting priorities, and ensuring high-quality delivery.Mentoring: Support and mentor junior team members within your workstream, sharing expertise and promoting best practices Data Engineering & Development: Design, build, and maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop ...

insights, and recommendations from both structured and unstructured data. As a Senior engineer, you will provide technical leadership, drive the adoption of modern AI engineering practices, and ensure that AI-powered solutions are robust, scalable, and reliable. Responsibilities Design, develop and maintain Python-based services and data processing … Contribute to the delivery of scalable AI-powered solutions that improve investigative processes through automation and intelligent insights. Help establish and promote modern AI engineering practices, including agentic workflows, prompt engineering and AI-assisted development. Essential Skills Strong Python development experience, including building production-grade services ...