AI/ML Engineer in Bristol

AI/ML Engineer in Bristol

Bristol Full-Time 80000 - 100000 £ / year (est.) Working from home possible
C-Serv

At a Glance

  • Tasks: Build and ship generative AI features from model selection to real-time inference.
  • Company: Join a leading name in application security and traffic management.
  • Benefits: Enjoy fully remote work, competitive salary, and strong growth opportunities.
  • Other info: Be part of a values-led, woman-owned company focused on collaboration and growth.
  • Why this job: Make a real impact by turning generative AI prototypes into dependable products.
  • Qualifications: 5-10 years of experience in AI/ML with strong Python skills.

The predicted salary is between 80000 - 100000 £ per year.

Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management. Our client is expanding its AI Core group and is looking for a Senior or Staff AI & ML Engineer in the UK. This is hands‑on, build‑focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi‑agent systems, retrieval‑augmented generation pipelines, anomaly detection, fine‑tuned models, and the real‑time inference layer that serves them. If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.

What You Will Own

  • Building and shipping generative AI features end to end: from model selection and fine‑tuning through to the inference path that serves them
  • Designing multi‑agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost‑aware at scale
  • Owning the real‑time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency
  • Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability
  • Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you
  • Partnering with research and product teams to take ideas from experiment to a service customers depend on

Requirements

  • 5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others
  • Strong, current Python engineering, with production services built and shipped (FastAPI or similar)
  • Genuine hands‑on GenAI depth: LLMs, RAG, agentic or multi‑agent workflows, anomaly detection, and fine‑tuning (for example LoRA or PEFT)
  • Real‑time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost
  • A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability
  • Solid grounding in Docker and Kubernetes, and large‑scale distributed systems on a major cloud
  • Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity

Nice to have

  • Experience with vLLM or other serving frameworks alongside Triton and TensorRT
  • Experience in security, networking, or other high‑reliability domains
  • Big‑data tooling (Spark, Databricks, Snowflake) and modern MLOps practice

What You Will Get

  • A genuine build mandate inside an established AI Core team, not a proof‑of‑concept that never ships
  • Fully remote working anywhere in the UK, built around delivery rather than presence
  • Competitive salary, strong benefits, and clear scope to grow into staff and principal‑level influence
  • The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end

Benefits

  • Fully remote working anywhere in the UK, built around delivery rather than presence
  • A clear path to grow into staff and principal‑level technical influence
  • Full support from C-Serv across the hiring process and beyond, with full‑cycle accountability
  • A values‑led, woman‑owned delivery partner built on empathy, integrity, collaboration, and growth

AI/ML Engineer in Bristol employer: C-Serv

Join a forward-thinking company that prioritises innovation and employee growth, offering a unique opportunity to work on cutting-edge AI technologies in a fully remote environment across the UK. With a strong emphasis on collaboration and mentorship, you will have the chance to influence the technical direction of projects while enjoying competitive salaries and comprehensive benefits. This is not just a job; it's a chance to be part of a values-driven team that champions integrity and empathy in every aspect of its operations.

C-Serv

Contact Details:

C-Serv Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI/ML Engineer in Bristol

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at C-Serv or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to C-Serv.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like C-Serv.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like C-Serv that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI/ML Engineer in Bristol

Python Engineering
FastAPI
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Anomaly Detection
Fine-Tuning (LoRA, PEFT)

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at C-Serv.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at C-Serv and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at C-Serv

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If C-Serv uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.