1,334 Tensorflow jobs in the United Kingdom
Artificial Intelligence Engineer
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Technical Consultant – AI Engineer – Remote-first
Are you passionate about AI and eager to help businesses unlock their full potential? We’re working with a forward-thinking, leading Microsoft Cloud partner tech consultancy that’s looking for a talented AI Technical Consultant to join their growing team.
This is a fantastic opportunity to work with cutting-edge technologies, collaborate with diverse clients, and deliver impactful AI solutions - all while enjoying the flexibility of a remote-first working model.
As an AI Technical Consultant, you’ll play a key role in designing, developing, and deploying AI solutions tailored to client needs. You’ll work closely with stakeholders to understand business challenges and translate them into actionable AI strategies.
Key responsibilities:
- Collaborating with clients to identify opportunities for AI implementation
- Designing and developing AI models (ML, NLP, Computer Vision)
- Conducting data analysis and preprocessing
- Deploying models into production environments
- Providing training and support on AI tools and best practices
- Staying up to date with the latest AI advancements
Requirements:
- Proven experience in AI/ML projects
- Proficiency in Python, R, or Java
- Familiarity with AI frameworks and cloud platforms (Azure, AWS, GCP)
- Strong problem-solving and communication skills
- A degree in Data Science, Computer Science, or a related field (preferred)
Benefits:
- Flexible remote working
- Competitive salary
- 25 days holiday + home working allowance
- Private health insurance (after 1 year)
- Enhanced parental leave
- 24/7 GP and Employee Assistance Programme
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
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Artificial Intelligence Engineer
Posted today
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Artificial Intelligence Engineer
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Role Purpose & Projects
This is a hybrid role where you'd be required in the Glasgow office 2 days per week. 1 day per week may be considered for candidates in outlying areas.
This team is responsible for designing and delivering AI-enabled software solutions that enhance workflows and improve efficiency across the business. Projects include:
- Building AI applications and internal tooling
- Automating workflows and documentation (e.g. technical content, training manuals)
- Integrating AI agents into applications
- Example: AI chatbot leveraging orchestration frameworks and APIs (OpenAI, Perplexity, Google)
- Tools and solutions for Sales, Marketing, and Engineering functions
This is not a pure data science or ML model training role —the focus is on AI-driven software development and automation .
Skills & Experience
Essential:
- 5–6 years’ experience as a software engineer in an enterprise setting
- Strong C# / .NET development background
- Experience with Azure (hosting, deploying, Azure Functions)
- Experience building CI/CD pipelines
- Frontend experience with React
Preferred:
- Exposure to tools like GitHub Copilot
- Knowledge of AI orchestration frameworks (Semantic Kernel, LangChain, LangGraph )
- Experience integrating LLMs (OpenAI, Perplexity, Google APIs)
- Demonstrated personal AI projects or a strong motivation to upskill in AI
Candidate Profile
- Strong software engineer with proven experience building enterprise-grade applications
- Hands-on AI experience or keen interest in applying AI in real-world settings
- Comfortable working in a small, fast-moving team building tools from scratch
- Enterprise mindset: security, scalability, and quality at the core of delivery
Compensation & Level
- Multiple levels available, with a preference for senior-level hires
- Competitive salary + bonus + benefits
- Visa sponsorship available
Artificial Intelligence Engineer
Posted 2 days ago
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Senior AI Software Engineer
London
£90,000-£130,000
I’m partnering with a dynamic AI consultancy that embeds itself within client businesses, listening closely, then building bespoke agentic AI solutions that automate processes, improve speed, and enhance decision-making.
Role Responsibilities
As a Senior AI Applied Engineer, you will:
- Build & Deploy AI-Driven Software Solutions
- You’ll blend software engineering and AI expertise to develop scalable, production-grade systems leveraging generative AI and agentic automation.
- Own Project-Based Work Across Diverse Domains
- You’ll tackle varied engagements, ranging in length and complexity, and support multiple clients.
- Ensure Scalable and Reliable Deployment
- Your role includes end-to-end responsibility for deploying AI solutions that are robust, maintainable, and optimized for performance at scale.
- Act as a Strong Team Contributor and Communicator
- While you won’t lead client engagements, you’ll work closely with clients and internal teams, translating client needs into technical solutions, requiring strong communication and stakeholder-facing capabilities.
- Leverage Generative AI Expertise
- Utilise your hands-on experience with generative AI tools or workflows, prompt engineering, LLM integration, or similar, but the emphasis is on engineering implementation and delivery.
Who We're Looking For
Essential Qualifications & Experience
- Strong software engineering background with deep experience deploying scalable systems
- At least some commercial experience using Generative AI exposure (e.g., LLMs, agentic interfaces, prompt engineering) but primarily strong engineering fluency
- Comfortable with project-based, delivery-focused work, even if no prior consultancy experience
- Confident in client-facing situations and able to collaborate effectively with non-technical stakeholders
- Reliable, consistent work history; this is a long-term growth-focused opportunity within an expanding team
Ready to Apply?
If this resonates with your background and career path, let’s talk. Please share your CV highlighting your engineering experience and where generative AI has featured, especially in deployment or integration roles.
Artificial Intelligence Engineer
Posted 2 days ago
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Artificial Intelligence Engineer
Posted 2 days ago
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Artificial Intelligence Engineer
Posted 2 days ago
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Contract AI Engineer – Azure AI Agents | Inside IR35 | Hybrid (UK-based)
Join one of the UK’s leading Investment management firms' cutting-edge AI transformation project. They're building a Greenfield AI agent platform to revolutionise how investors interact with customer data.
What You’ll Do
- Build and deploy modular AI agents using Python and containerisation tools.
- Leverage RAG, embeddings, and OCR to synthesise customer data.
- Collaborate with data engineers, DevOps, and integration specialists.
- Deliver APIs for seamless integration into Microsoft 365 and Dynamics 365 environments.
- Contribute to a high-impact roadmap with full business support.
What You’ll Bring
- Proven experience shipping production AI solutions.
- Strong Python and containerisation skills (Azure Container Apps, Kubernetes, etc.).
- Familiarity with multi-agent orchestration frameworks (e.g., Semantic Kernel, Autogen, Azure Agentic).
- Experience with Azure integration services is a bonus.
- Passion for AI and automation - financial services background not required.
Why Join?
- Greenfield opportunity in a highly supportive environment.
- Exposure to cutting-edge AI tooling and real-world customer data.
- Flexible team, open to mid-level engineers with strong delivery experience.
- Initial 6-month contract with potential for extension.
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Artificial Intelligence Researcher
Posted 2 days ago
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Job Title: AI Researcher
Location: Cambridge or London, UK
This is a permanent position with candidates required to do hybrid working in either Cambridge or London.
Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models
Responsibilities:
Develop and refine RLHF algorithms for large language and generative models.
Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment.
Train, fine-tune, and evaluate LLMs and diffusion models at scale.
Design experiments to align generative outputs with human and organisational preferences.
Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines.
Publish findings in top-tier AI conferences and contribute to open-source frameworks.
Key Requirements:
PhD in Computer Science, Machine Learning, or related field.
Publications at NeurIPS, ICML, ICLR, ACL, or related venues.
Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF).
Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs).
Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow).
Proficiency in Python and standard ML libraries.
Solid foundations in probability, optimisation, and statistics.
Experience working with large-scale distributed training on GPUs/TPUs.
If this sounds of interest, please reach out to
Artificial Intelligence Engineer
Posted 2 days ago
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Job Description
Artificial Intelligence Researcher
Posted 2 days ago
Job Viewed
Job Description
Job Title: AI Researcher
Location: Cambridge or London, UK
This is a permanent position with candidates required to do hybrid working in either Cambridge or London.
Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models
Responsibilities:
Develop and refine RLHF algorithms for large language and generative models.
Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment.
Train, fine-tune, and evaluate LLMs and diffusion models at scale.
Design experiments to align generative outputs with human and organisational preferences.
Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines.
Publish findings in top-tier AI conferences and contribute to open-source frameworks.
Key Requirements:
PhD in Computer Science, Machine Learning, or related field.
Publications at NeurIPS, ICML, ICLR, ACL, or related venues.
Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF).
Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs).
Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow).
Proficiency in Python and standard ML libraries.
Solid foundations in probability, optimisation, and statistics.
Experience working with large-scale distributed training on GPUs/TPUs.
If this sounds of interest, please reach out to