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

Apply Now

Machine Learning Engineer

N Consulting Ltd
London
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Role - Machine Learning Engineer 

Location - London

Experience - 10+ Years

 

 

Key Responsibilities:

 

- Develop and implement machine learning models for various projects and applications.

- Design and train neural networks, deep learning algorithms, and other advanced models.

- Analyze and clean data sets ensuring accuracy, completeness, and consistency.

- Collaborate with cross-functional teams to identify business problems, develop solutions, and implement them.

- Use programming languages such as Python, R, and SQL to manipulate data and develop models.

- Stay up-to-date with the latest advancements in machine learning and artificial intelligence.

- Communicate complex ideas and technical concepts to non-technical stakeholders.

- Participate in code reviews, testing, and debugging to ensure high-quality deliverables.

 

Qualifications:

 

- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.

- Minimum of 8 years of experience working in a machine learning role.

- Strong proficiency in programming languages such as Python, R, and SQL.

- Experience with machine learning libraries such as TensorFlow, Keras, and Scikit-learn.

- Strong understanding of statistical techniques and predictive modeling.

- Excellent communication and collaboration skills.

- The ability to work independently and in a team setting.

- Experience working with cross-functional teams and delivering projects on tight deadlines.

 

 

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.