263 AI Engineer jobs in the United Kingdom

AI Engineer

I am working with a Microsoft Partnered consultancy who are looking for an AI Engineer to join their growing team. You will have the opportunity to work on a variety of client projects across a number of different industries such as retail, finance and the public sector.

In this position, you will join a growing Data & AI practice and will work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics.

The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the business. Every colleague within the team has their own personalised development plan, with clear goals set and promotions earned through merit!

As part of this role, you will be responsible for -

• Build relationships with clients and take the lead on delivering AI solutions to benefit the business
• Design and develop AI algorithms and models
• Provide training to clients on the best practices of working with AI tools
• Implement AI models into client environments and monitor on-going performance, making changes where necessary

To be successful in this role you will have .

• Commercial experience working in AI/ML
• Strong programming skills with Python and other languages such as R or Java
• Strong cloud experience in an Azure environment (AWS or GCP also beneficial)
• Experience with Gen AI would be beneficial

This is a home-based role, however travel to client sites is required on an ad-hoc basis. You will also travel to company get togethers once per quarter, with travel to these events expensed. Some of the benefits included in this role are -

• Salary up to 60,000 depending on experience
• Performance related bonus scheme of up to 10%
• 25 days annual leave plus bank holidays
• Company pension scheme; 5% matched contribution
• Healthcare benefits such as private healthcare

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP , so don't miss out, APPLY now!

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The AI Engineer is a key role in the Data Platform Portfolio team, building the data platform, driving value from data across the business.

With strong technical skills and business acumen to help turn millions of potential data points into actionable insights that can drive product improvements, make our customer acquisition more efficient, improve our customer retention rates, and drive operating efficiencies across the business.

The primary goals of the team are:

• To build and run a data platform which can create and deliver analytics to colleagues and deliver regulatory reporting
• Ingest and transform data from multiple systems, modelling data and engineering data marts to create reusable data assets 
• To create a self service BI platform, enabling colleagues across Rentokil Initial to get value from data
• To build AI models and a data science platform that enables Rentokil to derive huge value from AI, through machine learning to gen AI and beyond

Key tasks:

• AI Data Engineering: Design, build, operate, and deploy real-time data pipelines at scale using AI techniques and best practices. Support Rentokil’s AI R&D efforts by applying advanced data warehousing, data science, and data engineering technologies. Aim for automation to enable a faster time-to-market and better reusability of new AI initiatives.
• Collaboration: Work in tandem with the AI team to collect, create, curate, and maintain high-quality AI datasets. Ensure alignment of data architecture and data models across different products and platforms.
• Hands-on Involvement: Engage in data engineering tasks as required to support the team and the projects. Conduct and own external data collection efforts - including state-of-the-art prompt engineering techniques - to support the construction of state-of-the-art AI models.
• The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows.
• Designing and refining prompts to improve LLM performance in structured data querying and other business-specific applications
• Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics.
• Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability.
• Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives.
• Develop and maintain data integration processes to ensure data quality and accuracy in the data platform

Requirements

• Extensive experience in data collection, preprocessing, and integration from various sources, ensuring accuracy, consistency, and handling missing values or outliers.
• Proficient in designing and implementing ELT pipelines using tools like dbt, with strong knowledge of data warehousing, data lake concepts, and data pipeline optimization.
• Skilled in SQL for data manipulation, analysis, query optimisation, and database design.

• Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications.
• Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases.
• Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn.

• Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration.
• Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics.

• Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows.
• Strong understanding of model performance evaluation, hyperparameter tuning, and maintenance using tools like Vertex AI Pipelines.

• Hands-on experience with GCP services such as Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS) for AI/ML applications.
• Skilled in containerization (Docker) and orchestration (Kubernetes, GKE), with a solid understanding of cloud security best practices.

Benefits

• Competitive salary and bonus scheme
• Hybrid working
• Rentokil Initial Reward Scheme
• 23 days holiday, plus 8 bank holidays
• Employee Assistance Programme
• Death in service benefit
• Healthcare
• Free parking

At Rentokil Initial, our customers and colleagues represent diverse backgrounds and experiences. We take pride in being an equal opportunity employer, actively encouraging applications from individuals from all walks of life. Our belief is that everyone irrespective of age, gender, gender identity, gender expression, ethnicity, sexual orientation, disabilities, religion, or beliefs, has the potential to thrive and contribute.

We embrace the differences that make each of our colleagues unique, fostering an inclusive environment where everyone can be their authentic selves and feel a sense of belonging. To ensure that your journey with us is accessible if you have any individual requirements we invite you to communicate any specific needs or preferences you may have during any stage of the recruitment process. Our team is available to support you; feel free to reach out to ( ) if you need anything

Be Yourself in Your Application! At Rentokil Initial, we value innovation, but we want to see the real you! While AI can help with structure and grammar, make sure your application shows your true passion and understanding of the role. A personal touch will help you stand out. 

Complexio is Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio  is a joint venture between Hafnia and Símbolo , in partnership with Marfin Management , C Transport Maritime , Trans Sea Transport  and BW Epic Kosan . 

About the job

As an AI/Machine Learning Scientist at Complexio, you will be responsible for designing, developing, and implementing machine learning models and algorithms that can automate business processes. You will work closely with cross-functional teams, including data engineers, software developers, and domain experts, to drive advancements in a range of technologies including Large Language Models, Process Mining and Graph Databases.

 Key Responsibilities

• Research, design, and implement machine learning models to solve business challenges.
• Work closely with software developers to integrate machine learning models into production systems.
• Stay abreast of the latest developments in AI and machine learning research to inform project strategies.
• Provide expertise and guidance on machine learning best practices to the broader team.
• Contribute to the development and maintenance of a scalable and robust AI infrastructure.

Requirements

Requirements:

• Ph.D. degree in Computer Science, Data Science, Machine Learning, or a related field.
• Experience in AI/Machine Learning research and development.
• Proficiency in Python.
• Experience with popular machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with using NVIDIA GPUs for fine tuning AI models
• Strong mathematical and statistical background.
• Excellent problem-solving and critical-thinking skills.

Preferred Qualifications

• Experience with deep learning techniques and architectures.
• Familiarity with natural language processing (NLP) and Large Language Models (LLMs).
• Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud).
• Research experience in Graph Neural Networks would be a plus.
• Strong publication record in relevant conferences or journals.

Benefits

(Remote must be within 4-5 hours of CET timezone)

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction.

We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks .

This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment.

• Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities
• RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data retrieval
• LLM Training & Fine-Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF
• Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT
• Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools
• Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS
• Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js
• Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch

Required skills & experience:

• 3-5+ years of experience in ML engineering and software development
• Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face
• Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS
• Strong full-stack skills (React, TypeScript, Node.js) and API development
• Familiarity with vector databases and multi-agent frameworks

Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Manchester.

INDAMS

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction.

We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks .

This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment.

• Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities
• RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data retrieval
• LLM Training & Fine-Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF
• Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT
• Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools
• Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS
• Full-Stack Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js
• Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch

Required skills & experience:

• 3-5+ years of experience in ML engineering and software development
• Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face
• Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS
• Strong full-stack skills (React, TypeScript, Node.js) and API development
• Familiarity with vector databases and multi-agent frameworks

Apply now to join this high growth and award-winning organisation with the opportunity to be part of building the future of AI driven projects and solutions. The role offers a highly competitive salary and benefits package and will be office based in Manchester.

INDAMS

We're a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. Over the past few years, we've made significant investments in our data and tech capabilities, particularly within our CIO function. Our CIO team is at the forefront of driving innovation and ensuring our technology infrastructure supports our ambitious goals. We've nurtured our 4Cs culture, fo.

WHJS1_UKTJ

Fullstack GenAI Developer (Python / LLMs / GenAI)
? Hybrid | Manchester, London, or Glasgow HQ
? Up to £55,000 + Benefits
? Global Consultancy | High-Impact Projects | Cutting-Edge Tech

Are you a fullstack developer with a passion for Generative AI? Do you thrive at the intersection of innovation, client delivery, and future-defining technology?

Were partnering with a leading global consultancy on a.

WHJS1_UKTJ

Description

Highly skilled and innovation-focused Generative & Agentic AI Engineer to join our AI engineering team. This role is central to designing, developing, and iterating on fast-paced prototypes that explore the latest in LLMs, autonomous agents, semantic search, and reasoning workflows. The ideal candidate is proficient in Python, experienced in building multi-step intelligent systems, and.

WHJS1_UKTJ