Ai Engineer

Matchtech
Weybridge, Surrey
10 months ago
Applications closed

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We're looking for an experienced AI Consultant / Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems.

If you're passionate about AI, thrive in fast-moving environments, and love building innovative solutions from scratch, this could be the perfect role for you.

What you'll be doing

Building and refining LLM-based agents, including retrieval-augmented generation and data retrieval systems.

Designing AI-powered system architecture using Python, Java, and SQL/NoSQL databases.

Fine-tuning models (LLMs & SLMs) and developing machine learning applications to drive measurable results.

Staying ahead of open-source AI trends and integrating the best tools into the tech stack.

Prototyping, testing, and refining AI applications to improve accuracy and performance.

Writing clean, modular Python code and performing rapid data processing and feature engineering.

Identifying and prioritising opportunities for AI implementation based on business needs and feedback.

Translating complex technical concepts into clear, accessible explanations for stakeholders.

What we're looking for

Essential:

Strong experience with Gen AI, NLP, and machine learning.

Proven ability to create, train, and fine-tune LLMs/SLMs.

Skills in prompt engineering and RAG (retrieval-augmented generation).

Solid background in Python, Java, and database technologies (SQL/NoSQL).

Experience in crawling/web scraping and API development.

Experience with on-premise AI development (local LLMs, model deployment, open-source frameworks).

Desirable:

Strong knowledge of data structures, algorithms, and solution architecture.

Broad understanding of machine learning algorithms and principles.

What's on offer

Salary: £60,000 - £70,000 DOE

25 days' annual leave + bank holidays

Discretionary bonus scheme

Defined contribution pension (up to 8.5% employer contribution)

Private medical insurance & health cover options

Flexible benefits allowance (e.g. dental, gym, travel insurance, holiday buy/sell)

Life assurance & income protection

Hybrid working with some on-site collaboration in Surrey

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Edge Computing Jobs in the UK (2026 Guide)

Where to advertise edge computing jobs UK in 2026: the specialist boards and channels that reach embedded, IoT, 5G MEC and edge AI engineering talent. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.