National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Artificial Intelligence & Machine Learning Engineer

BAE Systems Digital Intelligence
London
3 days ago
Create job alert

Create Alert BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Machine Learning Engineer Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Machine Learning (ML) Engineer. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identity where AI/ML-based solutions can add value. You will lead on prototype development and be responsible for designing, implementing, and deploying AI solutions. This cross-functional role requires a strong foundation in software engineering, statistics, and AI/ML concepts. Due to the fast-paced change in AI/ML, you are expected to be aware of the latest advancements in AI and ML technologies, ensuring that solutions are both innovative and effective. You'll work as part of an empowered, multi-disciplinary AI team who's purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside a Data Scientist, AI Strategy Lead and Delivery Management you will focus on engineering activities within our AI Strategy which is focussed on: Elaborate user needs and measure AI value Our Skills: Develop our career paths and learning plans for AI Understand technology partner capabilities and build our AI partner ecosystem Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. You will work closely with data scientists to understand data requirements, clean and organize data, and build efficient, scalable capabilities. Our unique customers have interesting, complex data. You will conduct practical AI experiments to test technical assumptions and assess technology maturity to meet user needs. As an engineering expert in AI/ML you'll be expected to develop, test and validate applications using machine learning models, demonstrating how they can mature from prototype to product. You will provide support to other early adopter engineering teams attempting to develop and integrate their own machine learning solutions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be helping to develop innovative products & services that support our customers mission. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you’ll be doing it for an organisation who makes a huge impact to the security of the UK. Prototyping applications using machine learning (ML) models to test feasibility and impact. Engineering and implementing ML-based solutions, with proven ability to own the end-to-end process and lifecycle of ML systems. Monitoring model performance through regular evaluation of deployed models, identifying performance gaps and opportunities for optimisation. Researching techniques by continuously exploring the latest ML and AI advancements to identify methods that can enhance current systems. Adhering to policy and ethical AI standards, ensuring machine learning practices comply with compliance processes and guidelines. Providing technical guidancein the implementation and integration of machine learning to other cross-functional teams. It would be great if you also had experience in some of these, but if not we’ll help you with them Optimising models from data scientists by working closely with them to refine, optimise, and implement models based on prototypes. Defining and improving MLOps processes by creating and refining the model development and deployment strategy for better efficiency and results. Ensuring the quality and accessibility of data used for machine learning projects is appropriate, collaborating with data engineers as necessary. Performing data analysis to enable machine learning engineering tasks, such as ethics/bias assessments or exploratory data analysis to inform model development/deployment pattern choice. Maintaining comprehensive documentation of model development, including methodologies, performance evaluations, and deployment details. Developing and running solutions Cloud-based environments & Cloud ML Services e.G.AWS, MS Azure. Integrating with relational, document, search and graph database systems. Security Clearance is required for this vacancy. Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office You’ll get 25 days holiday a year and the option to buy/sell and carry over from the year before Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more You’ll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE You’ll be part of our company bonus scheme You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting edge, high quality solutions. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020 we had over 700 employees working across our security and law enforcement customers. We have a rich history of working within National Security. You will work for a division of BAE Systems who helps nations, governments and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We’re a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. We’re passionate about Diversity and Inclusion in our workforce and the people you’ll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK and EMEA We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate and create together, even when we’re ]]

Related Jobs

View all jobs

Artificial Intelligence & Machine Learning Engineer

Artificial Intelligence And Machine Learning Engineer

Artificial Intelligence And Machine Learning Engineer

Artificial Intelligence And Machine Learning Engineer

Artificial Intelligence And Machine Learning Engineer

Artificial Intelligence And Machine Learning Engineer

National AI Awards 2025

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.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.