Data Scientist, Machine Learning Engineer, Data Analyst, Data Engineer, AI Engineer, Business Intelligence Analyst, Data Architect, Analytics Engineer, Research Data Scientist, Statistician, Quantitative Analyst, ML Ops Engineer, Applied Scientist, Insigh

Page Personnel
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Senior RF Data Scientist / Research Engineer

Data Scientist

Capacity Planning Data Scientist

Data Science Consultant

High Impact Work With Immediate and Strategic Influence. Cutting Edge Technical Environment Using AWS and Modern ML Tools.

About Our Client

Data Scientist / Machine Learning EngineerOur client is a well-established organisation within the business services industry. They are a medium-sized entity with a commitment to innovation and excellence in their field, providing a supportive environment for professional growth.

Job Description

Data Scientist / Machine Learning Engineer

Develop and implement machine learning models to analyse complex data sets. Collaborate with cross-functional teams to identify business challenges and provide data-driven solutions. Optimise data pipelines and workflows for improved efficiency. Translate analytical findings into clear insights and recommendations for stakeholders. Stay updated on the latest advancements in data science and machine learning methodologies. Create and maintain detailed documentation of data models and processes. Conduct exploratory data analysis to uncover trends and patterns. Ensure data quality and integrity throughout all analytics processes.

The Successful Applicant

Data Scientist / Machine Learning EngineerA successful Data Scientist / Machine Learning expert should have:

A strong academic background in data science, computer science, mathematics, or a related field. Hands-on experience with AWS ML stack (SageMaker, Lambda, Redshift). Proven ability to design and implement machine learning algorithms and models. Proficiency in Python, SQL, and ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Strong data analysis, statistical modelling, and experimentation skills. Experience with data visualisation tools and techniques. Proficiency in programming languages such as Python, R, or similar. Knowledge of data processing frameworks and platforms. Attention to detail and a methodical approach to problem-solving.

What's on Offer

Data Scientist / Machine Learning Engineer

Competitive salary ranging from £60,000 to £69,000 per annum. Comprehensive standard benefits package. Opportunity to work in the thriving business services industry. Located in the heart of London with excellent transport links. Permanent role with opportunities for professional growth and development.

If you are ready to take the next step in your career as a Data Scientist / Machine Learning specialist, we encourage you to apply now!

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.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.