AI & Machine Learning Engineer

F; Reading; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading consultancy is seeking an AI & Machine Learning Engineer to design and deliver innovative AI solutions. This role involves deploying Generative AI models and developing advanced AI pipelines in collaboration with a dynamic team. The ideal candidate has over 3 years of experience in machine learning and proficiency in frameworks like Azure Foundry. Competitive salary and benefits offered along with a hybrid working model.

Benefits

Competitive salary

Hybrid working model

Industry leading coaching and mentoring

Supportive development environment

Qualifications

• 3+ years of experience in machine learning, AI, or software development.
• Experience with GenAI frameworks like Azure Foundry.
• Proficient in context engineering, RAG, and LLMOps.

Responsibilities

• Deploy and monitor Generative AI models for enterprise use cases.
• Develop and implement RAG pipelines.
• Integrate Agentic AI into business workflows.

Skills

Machine Learning

Data Engineering

Generative AI

Python

R

TensorFlow

PyTorch

Scikit-learn

Azure

Tools

Azure DevOps

GitHub

MLflow

Databricks CLI

Terraform

Job description

Role Overview

We’re hiring an AI & Machine Learning Engineer to help design and deliver next‑generation AI solutions across our public sector and enterprise clients. You’ll work across Machine Learning, Data Engineering, and advanced AI technologies including Generative AI, Agentic AI, and Large Language Models as part of our growing AI Engineering team.

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 will help clients unlock new value from their data, automate complex processes, and drive digital transformation through the practical application of cutting‑edge AI.

Responsibilities

• Deploy, fine‑tune 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.
• Collaborate with data engineers to bringAgenticcapabilities to production.
• Stay current with AI trends, tools, and best practices, and drive innovation within the team

About you

• 3+ years of experience in machine learning, AI, data science, or software development, with recent focus on GenAI and LLMs.
• Experience with GenAI frameworks (e.g. Azure Foundry, CrewAI and Hugging Face).
• Proficient in context engineering, RAG, and LLMOps.
• Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry, Azure ML Studio).
• Experience with Azure data and analytics services (Data Factory, Data Lake, Synapse Analytics, SQL Database).
• Programming skills in Python, R, or similar languages.
• Familiarity with ML frameworks and libraries (TensorFlow, PyTorch, Scikit‑learn).
• Experience with Azure DevOps, GitHub, or similar tools.
• Experience in Computer Vision for Optical Character Recognition (OCR) and object recognition.

Knowledge and experience of the following would be advantageous:

• Hands‑on experience with MLflow, Databricks CLI, Terraform, automated retraining pipelines, drift detection, MLSecOps, access control, audit logging, and documentation, knowledge transfer, and training for internal teams and stakeholders.

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 is a leading consultancy specialising in Digital, Security and AI solutions. Our success is enabled by our unwavering commitment to excellence, our people centric culture alongside best‑in‑class operations, ensuring impactful and sustainable outcomes for our clients.

As a long standing and highly accredited Microsoft Partner, with extensive solution designations, we partner with clients across a range of commercial sectors, enabling digital transformation, innovation and robust cyber security.

We navigate the complexities of data sensitivity, confidentiality, governance and compliance. We blend strategic insight, depth of technical expertise, delivery and operational excellence to meet the specific requirements outlined.

We take a collaborative, one team approach with our clients to drive sustainable change, providing outstanding client experience and delivering exceptional results that are aligned with business priorities.

Our commitment to security and quality is reinforced by our ISO27001 and ISO9001 certifications (UKAS), as well as our CREST approved penetration testing and SOC capabilities. Additionally, we are an IASME Cyber Essentials Certification Body and Cyber Essentials Plus certified.

Find out more about our accolades here: https://fsp.co/about-fsp/

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 showcase 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.