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

Nominate & Attend

Senior AI/ML Engineer (Data Science & Software Focus)

Jobleads
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

AI/ML Data Science Developer

Machine Learning Engineer, Manchester

Machine Learning Engineer, Manchester

Machine Learning Engineer, London

Machine Learning Engineer, London

Senior Associate AI Researcher - Natural Language Processing

What’s in it for me?

  • Hybrid (1-2 days per week in our London Office)
  • Discretionary bonus of your basic salary, dependent on personal and company performance;
  • Charity Days
  • Individual, dedicated Training & Development budget
  • Pension
  • Bike to work and other relevant schemes


About You

Essential:

  • Minimum of 3 years’ experience working as hands-on Data Science Engineer or a role with similar responsibilities listed above at a reputable software development firm or in a comparable environment.

  • You will have a blend of analytic and tech knowledge from a suitable STEM degree (Software Engineering degree preferable) and excellent communication skills.

  • Advanced level in Python programming and software engineering architecture, DevOps for AI applications, some experience with SQL in any relational database.

Desirable:

  • An analytical and logical mind, be dynamic, positive, and ready to make a difference

  • Ability to clearly communicate complex technicalities to any audience

  • A passionate drive for code quality & results


About the Role

We are seeking a highly skilled and experienced Senior AI/ML Engineer to join our growing data science team in London (we are 5 at the moment), who is especially passionate about software engineering of the Data science solutions. In this role, you will be responsible for contributing to architecture, Scaling and operationalising data science solutions into production-ready systems.

We are looking for someone who:

  • Takes a key role in software implementation for the AI-driven multiple stages workflows to address complex business challenges.

  • Knows how to design optimal data science solution architecture given constraints and aims for that solution

  • Knows how to design data science solution architecture to process big input data through the data science application with low response time

  • Proficient in integrating new solutions into existing architecture / systems with a focus on performance and maintainability.

Core Responsibilities:

  • Full-stack software engineering in Python of the Data Science solutions

  • DevOps for Data science solutions in AWS (GCP - nice to have)

  • Code review of more junior members

  • Mentoring junior data scientists on the best practices in software development: clarity, modularity, maintainability, performance, organisation and testing / validation

  • Writing technical documentation

  • Collaborating with the database, java-developers and product teams

  • Performing agile development in partnership with the team; applying and contributing to evolving processes and tooling

  • Proactively acting to mitigate the company’s risk, cost base and improve our ability to serve clients.

Tech Skills Required:

  • Advanced level of coding in Python for Data Science

  • Software engineering architecture design for application with integrated Data Science solutions

  • Jupyter server/notebooks

  • AWS: EC2, Sagemaker, S3

  • Git version control

  • SQL skills include selecting, filtering, aggregating, and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries

  • Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications


#J-18808-Ljbffr

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

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

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.