Machine Learning Engineering Manager (Operations) - #1712810

About THG Ingenuity

THG Ingenuity is a fully integrated digital commerce ecosystem, designed to power brands without limits. Our global end-to-end tech platform is comprised of three products: THG Commerce, THG Studios, THG Fulfilment.

Each represents a single, unified solution, overcoming challenges and taking brands direct-to-consumer. Our client portfolio includes globally recognised brands such as Coca-Cola, Nestle, Elemis, Homebase, and Proctor & Gamble.

What will you be responsible for?

will collaborate closely with ML Engineers, ML Ops Engineers and stakeholders to define project objectives, implement cutting-edge ML models or AI solutions, and ensure the continuous improvement of algorithms that directly impact the company's bottom line. This position requires a strong understanding of ML techniques, team leadership, and a strategic mindset to drive innovation across multiple business domains. Some of the recent projects include building CX Support multi-agent, HITL system with MCP/tool calling capability to automate a large part of CX processes and developing fraud solutions resulting in multi-million pounds savings.

About The Role

The ML Manager (Operations) leads multiple squads covering Fraud, CX and Logistics. You will lead a cross-functional team focused on leveraging machine learning to enhance business operations. The role involves overseeing the development and deployment of AI-driven solutions to detect and prevent fraud, improve customer experience (CX) through intelligent agentic support systems, and optimise logistics processes for efficiency.

Key Responsibilities

• Lead, mentor, and manage a team of machine learning professionals, ensuring high performance and professional growth.
• Define and drive the machine learning strategy, aligning it with business objectives and priorities.
• Oversee the end-to-end lifecycle of machine learning projects, from ideation to deployment and monitoring.
• Guide the team in building, training, and deploying machine learning models and systems.
• Ensure best practices in model development, including data preparation, feature engineering, and model validation.
• Establish and refine workflows for the deployment, monitoring, and scaling of machine learning models.
  
  

What We’re Looking For

• Proven experience as a Machine Learning Engineer, with a track record of successfully developing and deploying machine learning models in a production environment which has evolved into leading a team.
• Experience in using and implementing classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, Llama, InstructBLIP, LLMs etc.)
• Expertise in complete end to end ML solution development lifecycle and Knowledge/Experience in building applications using LLMs and using composable framework i.e. Langchain.
• Familiarity with cloud computing platforms (GCP preferred) and good working knowledge of containerisation technologies such as Docker, Kubernetes as well as CI/CD pipelines. Any exposure to bash scripting, react, html is a plus.
• Proven ability to lead multiple projects/workstreams, stakeholder engagement, defining technical roadmap and establishing technical strategy in line with the strategic business direction.
  
  

Benefits

Career Development

• Access bespoke development programmes that have been designed and developed by our in-house L&D team.
• Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.
  
  

Enhanced Leave

• 25 days annual leave plus bank holidays.
• Don’t want to work on your birthday? We don’t either! Enjoy your day off on us!
• Enhanced maternity and paternity pay, depending on length of service.
• Up to 10 days compassionate leave.
• Buy back up to 3 days each year.
• Unlock 2 days volunteer leave after 12-months.
  
  

Wellbeing Support

• Access face-to-face and virtual appointments with our in-house GP.
• Access our in-house CBT therapist.
• Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.
• State-of-the-art on-site gym.
• Access to our on-site physio.
  
  

Other Perks

• Save up to 12% on the cost of personal tech through our salary sacrifice scheme.
• Subsidised bus pass from Manchester City Centre to our ICON office.
• Up to 50% staff discount on THG brands.
• On-site staff shop.
• Access to on-site barber.
• Know someone who would be perfect for THG? Refer them and get up to £1000 when they pass their probation.
• Anniversary gifts when you hit 5 and 10 years of service.
  
  

THG Ingenuity is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.

THG Ingenuity is committed to creating a diverse & inclusive environment and hence welcomes applications from all sections of the community.

Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG Ingenuity please contact one of our Talent team to discuss further.