1,431 Machine Learning jobs in the United Kingdom

Machine Learning Engineer

Salary: Up to £90k + Equity

Location: Fully Remote in UK

I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team.

As a core early team member, you’ll design, optimize, and deploy models that make real-time insights possible, all while shaping the technical direction of a fast-moving startup.

What You’ll Own:

• Build and optimize ML models
• Turn research prototypes into production-ready systems.
• Collaborate across product, hardware, and data teams to tackle real-world challenges.
• Influence technical strategy and contribute to the startup’s growth and product roadmap.

What We’re Looking For:

• Strong Python and deep learning skills (PyTorch/TensorFlow).
• Experience with TinyML frameworks (TensorFlow Lite, TVM, ExecuTorch).
• Expertise in model optimization for constrained devices (quantization, pruning, compression).
• Ability to take ownership and thrive in a fast-paced, flexible startup environment.

This role does not offer sponsorship!

If you interested, please reach out to-

We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact.

Key Responsibilities

• Develop, train, and optimize machine learning models for production use.
• Collaborate with data scientists to turn research prototypes into production-grade solutions.
• Build robust data pipelines and feature engineering workflows.
• Deploy ML solutions into cloud environments (AWS, GCP, or Azure).
• Implement monitoring, testing, and model performance evaluation frameworks.
• Work with engineering teams to ensure seamless integration of ML models into products.
• Contribute to improving infrastructure, tooling, and best practices for ML development and deployment.

Skills & Experience

Essential:

• Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn).
• Proven experience in developing and deploying machine learning models in production.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
• Proficiency in working with cloud services (AWS, GCP, or Azure).
• Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes).
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Desirable:

• Experience with NLP, computer vision, or time-series forecasting.
• Familiarity with distributed computing frameworks (Spark, Ray).
• Experience with MLOps and model governance practices.
• Previous contract experience in a similar ML engineering role.

Contract Details

• Duration: 6–12 months (extension possible)
• Location: London (Hybrid working model)
• Day Rate: Competitive, depending on experience

We are seeking a highly skilled Machine Learning Engineer to join our team on a contract basis. You will be responsible for designing, building, and deploying machine learning models into production, working closely with data scientists, software engineers, and product teams to deliver scalable AI solutions. This is an excellent opportunity for someone who thrives in fast-paced environments and enjoys solving complex problems with real-world impact.

Key Responsibilities

• Develop, train, and optimize machine learning models for production use.
• Collaborate with data scientists to turn research prototypes into production-grade solutions.
• Build robust data pipelines and feature engineering workflows.
• Deploy ML solutions into cloud environments (AWS, GCP, or Azure).
• Implement monitoring, testing, and model performance evaluation frameworks.
• Work with engineering teams to ensure seamless integration of ML models into products.
• Contribute to improving infrastructure, tooling, and best practices for ML development and deployment.

Skills & Experience

Essential:

• Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn).
• Proven experience in developing and deploying machine learning models in production.
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with ML pipelines and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
• Proficiency in working with cloud services (AWS, GCP, or Azure).
• Strong understanding of CI/CD, containerisation (Docker), and orchestration (Kubernetes).
• Excellent problem-solving skills and ability to work independently in a fast-paced environment.

Desirable:

• Experience with NLP, computer vision, or time-series forecasting.
• Familiarity with distributed computing frameworks (Spark, Ray).
• Experience with MLOps and model governance practices.
• Previous contract experience in a similar ML engineering role.

Contract Details

• Duration: 6–12 months (extension possible)
• Location: London (Hybrid working model)
• Day Rate: Competitive, depending on experience

We’re looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.

This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.

This role will off you

• Work at the intersection of AI and life sciences with high-impact applications.
• Hybrid working (3 days per week in the London office).
• A collaborative, inclusive culture with opportunities for growth and leadership.

What you’ll do

• Design and develop novel ML models and algorithms.
• Apply deep learning and generative modelling to complex scientific problems.
• Collaborate with experts across biology, chemistry, physics, and engineering.
• Analyse, tune, and optimise experimental results.
• Depending on experience: lead projects, mentor others, and shape research strategy.

What you’ll bring

• PhD (or equivalent experience) in ML, computer science, or a related field.
• Proven expertise in deep learning research and model development.
• Strong knowledge of mathematics (linear algebra, calculus, statistics).
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• A passion for applying ML to real-world scientific challenges.

Nice to have

• Experience working with biological or chemical data.
• Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
• Contributions to publications, research projects, or open-source ML.

We’re looking for a Research Scientist (Machine Learning) to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines.

This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged.

This role will off you

• Work at the intersection of AI and life sciences with high-impact applications.
• Hybrid working (3 days per week in the London office).
• A collaborative, inclusive culture with opportunities for growth and leadership.

What you’ll do

• Design and develop novel ML models and algorithms.
• Apply deep learning and generative modelling to complex scientific problems.
• Collaborate with experts across biology, chemistry, physics, and engineering.
• Analyse, tune, and optimise experimental results.
• Depending on experience: lead projects, mentor others, and shape research strategy.

What you’ll bring

• PhD (or equivalent experience) in ML, computer science, or a related field.
• Proven expertise in deep learning research and model development.
• Strong knowledge of mathematics (linear algebra, calculus, statistics).
• Experience with ML frameworks such as PyTorch, TensorFlow, or JAX.
• A passion for applying ML to real-world scientific challenges.

Nice to have

• Experience working with biological or chemical data.
• Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision.
• Contributions to publications, research projects, or open-source ML.