Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine learning and AI Engineer

FSP Retail Team
Reading
1 week ago
Create job alert
Role Overview

We are seeking a ML and AI Engineer to join our growing Data & AI team and play a pivotal role in designing and delivering next-generation Artificial Intelligence solutions, with a strong emphasis on Generative AI (GenAI) technologies, Agentic AI, and Large Language Models (LLMs), for our public sector and enterprise clients.

As a ML and AI Engineer, you will collaborate with data architects, engineers, and business stakeholders to create innovative, cloud-based AI solutions that leverage the latest advancements in GenAI. You’ll be instrumental in helping clients unlock new value from their data, automate complex processes, and drive digital transformation through the practical application of cutting-edge AI.

This is an exciting opportunity to join a passionate and forward-thinking team, working on impactful projects across diverse industries. You’ll help shape the future of AI adoption for our clients, delivering solutions that make a real difference.

Responsibilities
  • Fine-tune, deploy, and monitor Generative AI models and Agentic AI for enterprise use cases.
  • Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering strategies.
  • Integrate Agentic AI into business workflows to accelerate solution delivery.
  • Collaborate with data engineers to bring Agentic capabilities to production.
  • Stay current with AI trends, tools, and best practices, and drive innovation within the team
About you
  • 3+ years of experience in ML/AI, with a recent focus on GenAI and LLMs.
  • Experience with GenAI frameworks (e.g., Hugging Face, LangChain, Agentic).
  • Proficient in context engineering, RAG, and LLMOps.
  • Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry).
  • Strong understanding of responsible AI and model safety.
  • Have experience in Computer Vision for Optical Character Recognition (OCR), and object recognition
What we look for in our people
  • Strong alignment with FSP values and ethos
  • Commitment to teamwork, quality and mutual success
  • Proactivity with an ability to operate with pace and energy
  • Strong communication and interpersonal skills
  • Dedication to excellence and quality
Who are FSP?

FSP Consulting Services (FSP) is a best-in-class digital transformation and cyber consultancy specialist combining real world experience in business strategy, change and adoption and digital solution delivery with a strong culture and social purpose. As a long-standing Microsoft Solutions Partner, our portfolio of modern workplace, cloud, data, and cyber security offerings, alongside trusted managed services delivery, is driving change for high-profile clients in both the public and private sector. Our work is founded on the commitment to deliver positive impact for both organisations and their people. As an employee-first organisation, FSP is committed to creating a culture of True Belonging, Excellence Everywhere, and Creating Opportunity. We are proud to have been recognised by Best Companies as a 3-star ‘World Class’ workplace (their highest level of accreditation) in 2024, 2023 and 2022. We were also awarded No.1 Best Company to Work For in the UK, in the Technology sector and in the South-East (Regional League Table) in 2023. We have also been recognised three times as No.1 Best Workplace in the UK by Great Place to Work. Find out more about our awards here: https://fsp.co/awards/

Why work for FSP?

At FSP, we are committed to providing:

  • A collaborative and supportive environment in which you can grow and develop your career
  • The tools and opportunity to do work you can be proud of
  • A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
  • Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
  • Industry leading coaching and mentoring
  • Competitive salary and an excellent benefits package

Equal and Fair Opportunity

FSP is an equal opportunity employer and we welcome applications from all suitable candidates. We consider all applicants for employment regardless of age, disability, sexual orientation, gender identity, family or parental status, race, colour, nationality, ethnic or national origin, religion or belief.

Research suggests that applicants from underrepresented groups are less likely to apply for roles if they do not precisely meet requirements, or if they felt there were clear barriers as to who should apply. If you are excited about a potential role with us but are concerned that you may not be a perfect fit, please do apply, as you may be the ideal candidate for this role or for a different vacancy within FSP.

We endeavour to always provide fair opportunity for applicants to show-case themselves in the best way possible during any interviews or meetings. If you require any adjustments for a call or in-person meeting, please let us know


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning and AI Engineer

Machine learning and AI Engineer

Machine learning and AI Engineer

Principal Data Scientist I - Agentic Systems

Principal Data Scientist I - Agentic Systems

Principal Data Scientist I - Agentic Systems

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.