You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Version 1

AI Engineer

  • Hybrid
  • 3-6 years

Salary

Not stated

Similar roles pay £45K - 155K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

We are seeking a hands-on AI/ML Engineer to build, deploy, and optimize machine learning and Generative AI solutions. The role focuses on developing production-grade AI applications, integrating AI models into business systems, and supporting the full AI development lifecycle.

The ideal candidate is passionate about modern AI technologies, software engineering best practices, and delivering reliable AI solutions at scale.

Responsibilities

  • AI Application Development
  • Design, build, and maintain AI-powered applications and services.
  • Develop and deploy Machine Learning and Generative AI solutions.
  • Build Retrieval-Augmented Generation (RAG) systems and AI agents.
  • Integrate foundation models and APIs into enterprise applications.
  • Create reusable AI components and frameworks.
  • Machine Learning Engineering
  • Train, fine-tune, evaluate, and deploy ML models.
  • Develop feature engineering and model evaluation pipelines.
  • Implement model monitoring and performance tracking.
  • Optimize model inference performance and cost efficiency.
  • Generative AI Engineering
  • Develop LLM-based applications and workflows.
  • Build prompt templates, agent frameworks, and orchestration pipelines.
  • Implement vector search and knowledge retrieval systems.
  • Design evaluation frameworks for AI quality, safety, and reliability.
  • Improve hallucination mitigation and response accuracy.
  • MLOps & Deployment
  • Design and automate ML model training, validation, and retraining pipelines.
  • Version and manage datasets, features, and model artefacts using tools such as MLflow or similar.
  • Deploy and serve ML models via REST APIs or batch inference at scale on Databricks, Snowflake or similar.
  • Monitor model performance in production, detecting drift and degradation.
  • Manage feature stores and ensure data pipeline reliability for ML workloads.
  • Implement experiment tracking and reproducibility across the model lifecycle.
  • Collaboration
  • Work closely with Solution Architects, Product Managers, and Engineering Teams.
  • Participate in code reviews and technical design discussions.
  • Support testing, deployment, and ongoing optimisation activities.

Requirements

  • Programming & Engineering
  • Strong proficiency in:
  • Python
  • SQL
  • AI & Machine Learning
  • Experience with:
  • Scikit-learn
  • PyTorch and/or TensorFlow
  • Hugging Face
  • Main AI services from leading cloud service and model providers
  • Supervised and unsupervised learning
  • Model evaluation
  • Feature engineering
  • Statistical concepts
  • Generative AI
  • Practical experience building:
  • RAG systems
  • AI agents
  • LLM-powered applications
  • Vector search solutions
  • Familiarity with:
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • LangGraph
  • Cloud & Infrastructure
  • Experience with AWS.
  • Docker and containerization.
  • Kubernetes (preferred).
  • CI/CD pipelines and DevOps practices.
  • Professional Experience
  • 3+ years in ML engineering or data science, with demonstrable experience deploying models to production and building Gen AI applications including RAG systems, LLM integration, or agentic workflows
  • Demonstrated experience delivering AI solutions into production environments.
  • Additional Information
  • Why Version 1?
  • At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability.
  • Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits
  • Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme
  • Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance
  • Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme
  • Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies
  • Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat
  • Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform.
  • Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes.
  • And many more exciting benefits… drop us a note to find out more.
  • Version 1 is an equal opportunities employer.
  • We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring.
  • We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact varun.gill@version1.com at Version 1. We will consider all requests carefully, respectfully and confidentially.
  • Video links:
  • LI-SS1
  • Company Description
  • Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Anthropic, Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services.
  • We’re an award-winning employer reflecting how our employees are at the very heart of what we do:
  • UK & Ireland's premier AWS, Microsoft & Oracle partner
  • 3300+ strong, €350/£300m revenue business
  • 10+ years as a Great Place to Work in Ireland & UK
  • Best Workplace for Women in the UK & Ireland by GPTW
  • Best Workplace for Wellbeing in the UK by GPTW
  • We’re a core valuesdriven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you.

Where you’d work

Part of the week in the office

You can work from

  • United Kingdom

About the company

Version 1

Office in Manchester, United Kingdom

Also hiring in Edinburgh, United Kingdom, Dublin, Ireland, Ireland and 2 more places

8 of their 54 open roles are remote

Your chances

We've checked whether it's still hiring and how crowded it is.

  • 19 checks run
  • 0 red flags

Still hiring?

13 checks

No red flags

How crowded?

6 checks

No red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • Kubernetes
  • Docker
  • PyTorch
  • CI/CD
  • LLMs
  • RAG
  • LangChain
  • Vector databases
  • Databricks
  • Snowflake
  • TensorFlow
  • scikit-learn
Type
Full-time
Specialty
ML
Region
United Kingdom
Pay period
Annual
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
3+ years
Tech stack
  • Python
  • SQL
  • AWS
  • Kubernetes
  • Docker
  • PyTorch
  • CI/CD
  • LLMs
  • RAG
  • LangChain
  • Vector databases
  • Databricks
  • Snowflake
  • TensorFlow
  • scikit-learn

Location

Work model
Hybrid
Region
United Kingdom
Office
  • Manchester, United Kingdom
Remote from
  • United Kingdom

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason