Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Sign up for Jobbird
An error occurred while opening the sign-up page. Please try again.

Loading window...

Forgot my password
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Log out
Unfortunately, something went wrong while signing out. Please try again.

Loading window...

Job application sent
Something went wrong while logging in. Please try again.
Something went wrong while signing up. Please try again.

Loading window...

logo
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Filters
Filters
Location and distance
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Jobs posted from
Salary from (per month)
Filters
How our sorting works

The order in which job vacancies are displayed is determined by a composite score based on the following factors:

  • Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
  • Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
  • Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
  • Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.

Platform Recruitment

Machine Learning Engineer

Platform Recruitment London
60,000 to 70,000
32 - 40 hour


Show Recently closed jobs

    Platform Recruitment

    Machine Learning Engineer

    Platform Recruitment London
    60,000 to 70,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £60,000 to £70,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Job Title: Machine Learning Engineer

    Location: London

    Salary: Up to £70,000 DOE

    This is a unique opportunity for a Machine Learning Engineer to join a well-funded early-stage company building frontier AI systems focused on optimising complex operational environments. Working at the intersection of scientific machine learning, time-series modelling, optimisation, and real-world deployment, you will help shape products designed for measurable real-world impact.

    This is a hands-on engineering role where you will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.

    The Role

    You will design, build, and deploy advanced machine learning models capable of solving complex operational challenges in real-world environments. Working closely with engineering and product teams, you will help develop scalable systems that can operate effectively with imperfect, high-volume data while contributing to the long-term technical direction of the platform.

    Requirements

    * A strong academic background in a quantitative STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields

    * Commercial experience developing machine learning solutions using Python and modern ML frameworks

    * Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets

    * Experience working with time-series, forecasting, optimisation, or probabilistic modelling approaches

    * Comfortable working with unstructured or inconsistent real-world data in production settings

    * A problem-solving mindset with the ability to work autonomously within a fast-moving environment

    * Interest in applying machine learning to operational, industrial, or physical systems

    Desirable Experience

    * Experience deploying ML systems into production environments

    * Exposure to scientific machine learning, simulation, or reinforcement learning

    * Familiarity with cloud infrastructure and scalable ML pipelines

    If this opportunity is of interest, please apply below
    Salary description

    £60000.00 - £70000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


    Vacancy actions

    Save as favorite
    Share vacancy
    Or apply later


    London England

    Jobs

    • Search for jobs
    • Jobs per location
    • Jobs per job profession
    • Jobs per employment
    • Jobs per educational attainment

    Jobbird

    • Switch to different region
    • Terms and Conditions
    © 2026 Jobbird