Machine Learning Engineer

TEKsystems
London
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Production ML & Big Data Pipelines

Data Scientist

Data Scientist

London Data Scientist & ML Engineer | AWS, Python

Head of Data Science & ML Engineering

Data Engineer

Job Title: Machine Learning Engineer

Job Description

The Solutions & Technology team is seeking a skilled Machine Learning Engineer through the Magnit program in the UK. This engineer will report directly to the Engineering Manager and will be responsible for designing and implementing machine learning models and solutions.

Responsibilities

Design and develop machine learning models and algorithms. Collaborate with data scientists and engineers to integrate machine learning solutions. Optimise and refine models for performance and scalability. Utilise Python and SQL for data analysis and model development. Ensure the accuracy and efficiency of data processing and machine learning workflows.

Essential Skills

Proficiency in Python programming. Experience with machine learning techniques and algorithms. Strong knowledge of data analysis and data processing. Familiarity with SQL for database management and queries. Ability to design, implement, and optimise machine learning models.

Additional Skills & Qualifications

Experience working in a team environment. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities.

Why Work Here?

Join a dynamic and innovative team where you will have the opportunity to work on cutting-edge machine learning projects. Enjoy a supportive work environment that values collaboration and professional growth.

Work Environment

The work environment is fast-paced and collaborative, providing access to advanced technologies and tools. You will have the flexibility to work on challenging projects and contribute to the development of innovative solutions. The dress code is casual, and the team promotes a healthy work-life balance.

Job Type & Location

This is a Contract position based out of The London office.

Location

London, UK

Rate/Salary

- GBP Daily

Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands.

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.