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

Apply Now

Machine Learning Engineer Consultant

Cambridge
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Professional and Financial Services

Senior Machine Learning Engineer

Machine Learning Engineer Consultant

Location: Cambridge, England, United Kingdom
Contract: Permanent
Salary: Competitive + Excellent Benefits

Job Description:

Electus Recruitment is seeking a Machine Learning Engineer Consultant to join a dynamic SME that is part of a larger group of companies poised for significant growth. As a Machine Learning Engineer Consultant, you will contribute to innovative projects that protect the UK from emerging threats.

 Key Responsibilities:
Conduct in-depth research into state-of-the-art machine learning techniques and related emerging technologies.
Design, develop and implement machine learning models for a variety of tasks, from proof-of-concept to working prototypes.
Understand the underlying algorithms, mathematical concepts and workings of machine learning techniques.
Collaborate with a multi-disciplinary team of experts to solve complex challenges.
Communicate solutions to technical and non-technical stakeholders.
Requirements:
Strong technical skills and proven track record in machine learning research, with a focus on deep learning techniques and neural network architectures.
Experience with machine learning libraries and frameworks such as PyTorch, TensorFlow and Keras; data manipulation libraries such as Pandas and NumPy; and MLOPs tools such as Docker.
Experience with emerging machine learning technologies such as RL, XAI and Generative AI including LLMs.
Strong coding proficiency in Python.
An enquiring mind and a passion for problem-solving.
Post-Graduate Degree and research experience or a PhD in a relevant field such as Physics, Mathematics, Computer Science or Engineering.
Ability to obtain and maintain UK security clearance.
This is an on-site role. A flexible working policy exists however the applicant is expected to be on-site for the majority of the time.
“Due to the nature of work undertaken by our client, incumbents of these positions are required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK Security Vetting”

Benefits:
Competitive salary and benefits package.
Opportunity to work on challenging and rewarding projects.
Collaborative and supportive work environment.
Access to state-of-the-art facilities and resources.
Opportunities for professional development and growth.
Generous pension scheme.
Private medical insurance.
Employee assistance program.
Company-sponsored social events.
Comprehensive relocation package available, if applicable.
Join a company that is committed to growth and innovation.  They are a dynamic SME with ambitious plans to double their size over the next five years. As part of our client's team, you can contribute to their success and be part of something truly exciting.
 
To apply please send us your CV highlighting your relevant experience

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.