National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist

JR United Kingdom
Hounslow
4 days ago
Create job alert

Social network you want to login/join with:

Data Scientist / Machine Learning Engineer / AI Engineer -Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday)

Data Scientist / Machine Learning Engineer:-You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. TheData Scientistwill join a very bright, talented team of engineers with the guidance of technologists who have help build up some of the best known technology companies today. You will work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast. The role will be very interesting and diverse and will involve keeping ahead of the latest technologies. Applicants must have solid Python development and some exposure to Java (Could be from university).

Core skills for the Data Scientist:

  • 2yrs+ in a commercial Data Science / Machine Learning role
  • Solid experience of Python and some Java (Could be from University projects)
  • A strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Familiarity with cloud platforms (AWS) and Kubernetes for deploying
  • A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering.

Salaryfor the Data Scientist /Machine Learning Engineerwill depend on experience, but expect between £55,000 and £80,000 + Pension + benefits

Other benefits include:- Free breakfast/Lunch and coffee, drinks and snacks all day/every day. Regular team events (dinner, bowling, karting, poker nights, board-games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.

Data Scientist / Machine Learning Engineer / AI Engineer -Java, Python, scikit-learn, TensorFlow, PyTorch AWS, Machine Learning, Artificial intelligence (Hybrid - 3 days in the office -mon, weds, Friday)

+++++Applicants must have the right to work in the UK, no sponsorship is offered for this role++++++++


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

National AI Awards 2025

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.

Jobs

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Education

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.