Machine Learning Engineer (Contract)
At a glance
Mid-level Machine Learning Engineering role at AND Digital. London · no salary stated · we estimate £60,000–£97,524 across the United Kingdom.
AND Digital has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Deploy and run machine-learning systems in production, keeping them operational as workloads evolve
- Build high-volume batch jobs, real-time microservices and automated retraining, with monitoring for system health
- Design machine-learning solutions across the full lifecycle while protecting product outcomes
- Use Python, SQL and modern modeling libraries to develop and deliver machine-learning systems
- Build deployment workflows with version control and containers, drawing on cloud and generative AI tools
What you bring
- Hands-on experience putting AI and machine-learning architectures into production and operating them
- Strong Python and SQL skills, plus experience with modeling libraries such as PyTorch or TensorFlow
- Practical public-cloud experience; Google Cloud tools such as BigQuery or Vertex AI are preferred
- Experience with deployment pipelines, version control and containers such as Docker or Kubernetes
Who this fits
This mid-level contract role suits an engineer comfortable with complex technical work, ambiguity and collaboration across disciplines. It is based on-site in London.
From the employer
We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster.
Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability.
About you:
- You care deeply about producing high-quality work that delivers real value
- You’re comfortable navigating ambiguity and solving complex problems collaboratively
- You bring strong expertise in your craft, alongside a willingness to keep learning
- You communicate clearly and build trust quickly with clients and teammates
- You’re pragmatic, adaptable and outcome-focused
- You value low-ego collaboration and enjoy working as part of multidisciplinary teams
What you’ll bring to the table:
- You have hands-on experience deploying and operating artificial intelligence and machine learning architectures in production ecosystems
- You are proficient in constructing high-volume batch processing systems, real-time microservices, automated continuous retraining, and system observability
- You possess deep understanding across the entire machine learning lifecycle, architecting sustainable solutions without compromising key product outcomes
- You demonstrate strong technical foundations in Python and SQL alongside modern modeling toolkits like PyTorch, TensorFlow, and Scikit-learn
- You bring practical expertise with public cloud environments, preferably Google Cloud Platform technologies such as BigQuery, Vertex AI, and Dataflow
- You are skilled with deployment pipelines, version control, and containerization platforms like Docker and Kubernetes
- You bring familiarity with advanced generative AI, Large Language Models, and agent orchestration tools such as ADK, LangChain, or AutoGen
- You articulate technical trade-offs effectively, influencing both engineering peers and non-technical business partners
- You are an inquisitive self-starter who pays attention to detail and continuously explores modern machine learning tooling
Not essential, but nice to have:
- A degree (BSc, MSc, or PhD) in Computer Science, Data Science, Engineering, or an equivalent technical field
- At least three years of professional experience operating as a Machine Learning Engineer or Data Engineer
- Strong appreciation of commercial KPIs and experience aligning technical model performance with broader business objectives
AI Statement
We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.
Equal Opportunities Statement
Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application.
We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.