AI and Machine Learning Engineer

Salary: £44,000 - 84,000 per year

Requirements:

• A minimum 2.1 Bachelors degree in Engineering or Computer Science is required; a Masters degree in Data Science or Artificial Intelligence is ideal.
• Excellent communication skills, including the ability to explain complex information clearly to varied audiences.
• Excellent understanding of key computer science concepts, such as databases, software engineering practices, and cloud computing, especially AWS, and data science concepts, including machine learning processes.
• Excellent knowledge of Python, including PyTorch, TensorFlow, and scikit-learn, and initial knowledge of LangChain and RAGAS.
• Familiarity with CI/CD workflows is required; experience with containerisation and deployment using Docker or Kubernetes is a plus.
• At least 1 year of relevant experience training, evaluating, and deploying machine learning models.
• A growth mindset and willingness to take on new challenges as learning opportunities.
• Flexibility regarding business travel and a positive attitude toward working across different client projects.

Responsibilities:

• Work closely with our Data Science team to introduce automation and governance into machine learning pipelines.
• Manage the infrastructure and orchestration pipelines needed to train machine learning models automatically and bring them into production.
• Implement solutions to monitor the performance of machine learning models in production over time.
• Work in teams with technical experts, including Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists.
• Interact with domain experts across different industries to understand and address challenging problems.
• Explore and understand client data in relation to the problems being tackled, and communicate findings to clients and stakeholders.
• Analyse client requirements and help develop suitable recommendations.
• Help manage the machine learning lifecycle, from data selection and collection through model design and creation to operationalisation and monitoring.
• Work closely with Data Scientists and senior MLOps Engineers to understand and implement models in production.

Technologies:

• AI
• AWS
• CI/CD
• Cloud
• Docker
• Support
• Kubernetes
• Machine Learning
• MLOps
• Network
• PyTorch
• Python
• TensorFlow

More:

We specialise in designing and implementing solutions using new communication channels and digital media. Structured as a network of highly specialised companies, we support leading European industrial groups across Telco & Media, Industry and Services, Banking and Insurance, and Public Administration. Our services include Consulting, System Integration, and Digital Services, helping clients develop business models enabled by AI, cloud computing, digital media, and the Internet of Things. We offer extensive training and a structured learning path, along with a diverse and vibrant work environment with colleagues who share a passion for data and technology. Our graduate programme includes hackathons, code challenges, and lab camps. As a consultant with us, you can work on projects for leading global brands. This role is based in the United Kingdom. We are an equal opportunities employer committed to diversity and fair selection, and candidates can request reasonable adjustments during recruitment.

last updated 40 week of 2026