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

Apply Now

Junior Machine Learning Engineer

CONTEXT
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Junior Machine Learning Engineer (6 Months Fixed Term Contract)

Junior Machine Learning Engineer (12 Months Fixed Term Contract)

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer – Computer Vision

Senior Machine Learning Engineer London, United Kingdom

Job Overview:

Utilising machine learning algorithms and AI solutions to analyse large datasets and drive data-driven decisions, while collaborating with teams to improve current workflows.

Main Tasks and Accountabilities

Collect, analyse, and interpret large datasets to help businesses make data-driven decisions.

Create and design mathematical algorithms that can process large amounts of data accurately and quickly.

Aide with integration of systems into CONTEXT data workflow. 

Test algorithms and follow up on answer validation.

Review and analyse feedback to improve existing solutions.

Work in collaboration with other teams.


Experience/Knowledge/Qualification required

Excellent command of English, both spoken and written.

Qualification/certification related to Machine Learning or relevant experience.

Good knowledge of Machine Learning techniques.

Proficient in SQL.

Proficient in Python.

Interest in Natural Language Processing (NLP) and large language models (LLM).

Knowledge of Deep Learning frameworks (Tensorflow, PyTorch, Transformers, etc).

Knowledge of agentic workflows and LLM agent design would be a plus (optional). 

Knowledge of design patterns would be a plus (optional).

AWS knowledge would be a plus (optional).

Data visualisation knowledge would be a plus (optional).


Character and Personal Qualities

Creative mind, able to think outside the box and good problem-solving skills.

Ability to explain complex systems and algorithms to non-technical people.

Effective communicator able to communicate at all levels of the organisation.

Willingness to learn and progress.


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 Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

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.