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

Nominate & Attend

Machine Learning Engineer II (London)

TN United Kingdom
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer III, Location AI

▷ (Urgent Search) Machine Learning Engineer, II...

Audio Machine Learning Engineer

Machine Learning Engineer - Personalization

Staff Machine Learning Engineer

Senior Machine Learning Engineer, AI Infrastructure, Autonomy

Social network you want to login/join with:

Are you interested in harnessing machine learning to power new personalisation experiences for travellers? Do you believe that modern online experiences should adapt to the needs and preferences of individual users? Are you fascinated by data, machine learning techniques, and software systems engineering? Do you love building creative, high-scale distributed systems using a diverse set of state of the art technologies? Our team wants to talk to you!

What you’ll do

You work in a cross-functional team of ML Engineers and ML Scientists to operationalise ML models in production.

You build scalable, high-performance systems for model development, data ingestion, feature engineering, inference, and monitoring/evaluation.

You provide an accurate time estimates for your scope of work, turn it into code, and deliver on schedule.

You advocate for quality coding. Write secure, stable, testable, maintainable code with minimal defects.

Who you are

2+ years experience in ML and software engineering for Bachelor’s, 1+ years for Master’s

Developed software in a team environment of at least 5 engineers (agile, version control, etc.).

Built and maintained an ML model or pipeline in production environments in public/hybrid cloud infrastructure.

Coding proficiency in at least one modern programming language (Java, Scala, Python etc.). Strong background in data structures and algorithms

Experience working with at least one machine learning framework (TensorFlow, PyTorch, XGBoost, etc)

Experience working with big data technologies (Spark, Kafka, Hive, Databricks, feature stores, etc).

Experience working with containerisation, deployment and orchestration technologies (Docker, Kubernetes, Airflow, CI/CD pipelines, etc)

Experience with automated testing, including unit, functional, and integration testing

Excellent organizational and communication skills

Bachelor’s or master’s degree in CS or similar


#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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.