2,147 AI Engineer jobs in the United Kingdom

Job Title: AI Engineer (Media)

Location: London (Farringdon – 3 days a week onsite)

Salary: £55,000 - £70,000

About Us

We are more than just a media agency; we are people people . At our core lies a commitment to understanding, trust, integrity, and delivering results. With a focus on data-driven decision-making, we have built a reputation for driving tangible outcomes for our clients. As an employee-owned organisation, we value our team members' contributions and provide them with opportunities to shape the company’s future.

Join us, and let’s create meaningful change together.

The Role

As an AI Engineer, you will head up the design, build, and optimisation of our data infrastructure, automation solutions, and AI-driven tools. Leading Data Architecture, MarTech, AI & Automation, you will ensure that data flows seamlessly across the business and is harnessed effectively to drive client performance.

This role requires a mix of technical expertise, leadership, and client-facing skills. You will manage and develop team members, oversee data engineering projects, and take ownership of the agency’s core data pipelines and platforms using Artificial Intelligence. You will also play a key role in exploring and embedding automation and AI technologies to keep our solutions future-focused.

This is an exciting opportunity for an ambitious data professional looking to step into a leadership role, shape the direction of the agency’s data capabilities. This role has a direct opportunity to grow into a Head of Data and AI position.

Key Responsibilities

Data Engineering & Architecture

• Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure).
• Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics.
• Design and support the delivery of AI and automation solutions both internally and for clients.
• Work with the Data Architecture and AdOps teams to streamline data integration from media platforms, ad servers, and MarTech tools.

Team Leadership & Development

• Manage and mentor data engineers and analysts within the data function, fostering growth and technical excellence.
• Provide technical guidance and enforce best practices across coding, documentation, and deployment.
• Act as a galvanising force within the data team, ensuring collaboration across Analytics, Data Architecture, AdOps, and Software Development.

Client Servicing & Collaboration

• Partner with client services and other internal teams to design bespoke data solutions that answer client needs.
• Present technical solutions internally and to clients in an accessible way, demonstrating the value of our data offering.
• Support non-technical teams in pitches with data-driven solutions and prototypes.

About You

You are both a builder and a leader , equally comfortable designing robust data pipelines as you are motivating a team and engaging with clients. You are ambitious, commercially aware, and excited about using automation and AI to future-proof the agency’s data offering.

Essential Skills & Experience

• Proven experience in data engineering, analytics engineering, or a related role within a media agency, consultancy, or fast-paced business.
• Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines.
• Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch).
• Solid knowledge of SQL and data warehousing concepts.
• Demonstrated experience with cloud platforms (GCP & Azure preferred).
• Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory).
• Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs).
• Proven ability to manage or mentor junior team members, providing technical guidance and fostering collaboration.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders and clients.

Preferred Skills

• Experience with DevOps and version control practices (Git, CI/CD pipelines, containers).
• Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations).
• Hands-on experience with Power BI or other visualisation platforms.

Why Join Us?

• Ownership culture: Be a part of an employee-owned company.
• Hybrid Working: Enjoy flexibility in balancing office and remote work.
• Professional Growth: Receive structured training and mentorship to develop your skills. Room to grow into a Head of Data, Technology and AI role.
• Generous Benefits
• Inspiring Team: Work with a passionate and diverse group of professionals.

Job Title: AI Engineer (Media)

Location: London (Farringdon – 3 days a week onsite)

Salary: £55,000 - £70,000

About Us

We are more than just a media agency; we are people people . At our core lies a commitment to understanding, trust, integrity, and delivering results. With a focus on data-driven decision-making, we have built a reputation for driving tangible outcomes for our clients. As an employee-owned organisation, we value our team members' contributions and provide them with opportunities to shape the company’s future.

Join us, and let’s create meaningful change together.

The Role

As an AI Engineer, you will head up the design, build, and optimisation of our data infrastructure, automation solutions, and AI-driven tools. Leading Data Architecture, MarTech, AI & Automation, you will ensure that data flows seamlessly across the business and is harnessed effectively to drive client performance.

This role requires a mix of technical expertise, leadership, and client-facing skills. You will manage and develop team members, oversee data engineering projects, and take ownership of the agency’s core data pipelines and platforms using Artificial Intelligence. You will also play a key role in exploring and embedding automation and AI technologies to keep our solutions future-focused.

This is an exciting opportunity for an ambitious data professional looking to step into a leadership role, shape the direction of the agency’s data capabilities. This role has a direct opportunity to grow into a Head of Data and AI position.

Key Responsibilities

Data Engineering & Architecture

• Lead the development and maintenance of data pipelines, ETL processes, and warehouse architecture (GCP, Azure).
• Ensure high-quality, scalable, and secure data infrastructure that supports campaign reporting and advanced analytics.
• Design and support the delivery of AI and automation solutions both internally and for clients.
• Work with the Data Architecture and AdOps teams to streamline data integration from media platforms, ad servers, and MarTech tools.

Team Leadership & Development

• Manage and mentor data engineers and analysts within the data function, fostering growth and technical excellence.
• Provide technical guidance and enforce best practices across coding, documentation, and deployment.
• Act as a galvanising force within the data team, ensuring collaboration across Analytics, Data Architecture, AdOps, and Software Development.

Client Servicing & Collaboration

• Partner with client services and other internal teams to design bespoke data solutions that answer client needs.
• Present technical solutions internally and to clients in an accessible way, demonstrating the value of our data offering.
• Support non-technical teams in pitches with data-driven solutions and prototypes.

About You

You are both a builder and a leader , equally comfortable designing robust data pipelines as you are motivating a team and engaging with clients. You are ambitious, commercially aware, and excited about using automation and AI to future-proof the agency’s data offering.

Essential Skills & Experience

• Proven experience in data engineering, analytics engineering, or a related role within a media agency, consultancy, or fast-paced business.
• Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines.
• Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch).
• Solid knowledge of SQL and data warehousing concepts.
• Demonstrated experience with cloud platforms (GCP & Azure preferred).
• Strong understanding of data modelling, transformation, and orchestration (e.g. dbt, Airflow, Azure Data Factory).
• Familiarity with digital marketing data flows (e.g. GA4, ad servers, programmatic platforms, CRMs).
• Proven ability to manage or mentor junior team members, providing technical guidance and fostering collaboration.
• Strong communication skills with the ability to explain technical concepts to non-technical stakeholders and clients.

Preferred Skills

• Experience with DevOps and version control practices (Git, CI/CD pipelines, containers).
• Understanding of marketing technology ecosystems (e.g. ad platforms, CRM integrations).
• Hands-on experience with Power BI or other visualisation platforms.

Why Join Us?

• Ownership culture: Be a part of an employee-owned company.
• Hybrid Working: Enjoy flexibility in balancing office and remote work.
• Professional Growth: Receive structured training and mentorship to develop your skills. Room to grow into a Head of Data, Technology and AI role.
• Generous Benefits
• Inspiring Team: Work with a passionate and diverse group of professionals.

AI Engineer

Salary: £65,000 £80,000

Location: Fully remote

We are seeking an AI Engineer with a strong open-source software background to join a fast-growing scale-up. They offer fully remote employment and have a team of engineers dedicated to developing AI-powered search and Retrieval-Augmented Generation (RAG) pipelines within DataStax-based architecture.

This role is perfect for someone with expertise in Open-source, API development, fine-tuning LLMs, and integrating AI into scalable applications. If you thrive in an AI-driven development environment, enjoy working on cutting-edge retrieval models, and have a passion for optimizing LLM performance, we want to hear from you.

Key Responsibilities:

• Develop and maintain scalable RESTful & GraphQL APIs to interact with LLMs and AI-powered search systems.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using open-source tools like LangChain, Langflow, and DataStax Vector Search.
• Fine-tune LLMs (Hugging Face, OpenAI, Cohere, or similar) to improve response quality and domain-specific performance.
• Optimize embedding models for better semantic search and document retrieval.
• Integrate AI-driven solutions with vector databases such as DataStax Astra DB, Weaviate, or FAISS.
• Implement secure API authentication (OAuth2, JWT) and manage access controls.
• Collaborate with AI/ML, data engineering, and DevOps teams to ensure seamless system integration.
• Monitor API performance and AI search efficiency, implementing optimizations where necessary.
• Stay up to date with advancements in LLM fine-tuning, RAG methodologies, and vector search techniques.

Essential Skills & Experience:

• Programming: Strong proficiency in Opensource.
• API Development: Experience with FastAPI, Flask (Python) OR Express.js for microservices.
• RAG Development: Hands-on experience building retrieval-augmented AI search solutions.
• LLM Fine-Tuning: Experience fine-tuning models for domain-specific performance and optimizing inference speed.
• Vector Search: Knowledge of DataStax Vector Search, Pinecone, FAISS, or Weaviate.
• Deployment: Familiarity with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions, Jenkins, or similar).
• Security & Authentication: Strong understanding of OAuth2, JWT, and API security best practices.
• Passionate about AI and Open Source: Demonstrated involvement in open-source projects and a passion for AI and its applications.

OUTSIDE IR35 + REMOTE – UP TOO £500 P/D

Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highly motivated AI/ML DevOps Engineer to join their team on a contract basis.

We are seeking an AI Engineer to rapidly prototype and integrate AI models—particularly foundation models—into real-world systems and workflows. This role requires a strong balance of technical expertise and user-centric thinking to deliver AI solutions that are both effective and usable.

Key Responsibilities

• Develop rapid prototypes using foundation models, APIs, and modern AI tools.
• Design and implement prompting strategies and establish evaluation methods for model behavior.
• Conduct lightweight fine-tuning or model adaptation to align AI outputs with application needs.
• Integrate AI capabilities into existing systems, workflows, and product environments.
• Work closely with user researchers and stakeholders to iteratively improve prototypes based on feedback and usability testing.
• Support the evaluation of AI solutions against technical performance benchmarks and user-defined success criteria.

Essential Skills & Experience

• Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow.
• Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts.
• Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments.
• Familiarity with AI model evaluation methods, including awareness of bias, limitations, and ethical considerations.
• Strong analytical and problem-solving skills with a bias toward experimentation and iteration.