Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Associate Project Manager

Ocado Group
Hatfield
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Associate Director Data Engineer

Senior Data Scientist

Lead Data Scientist - Deep Learning Practitioner

Data Scientist - Fixed Term Contract

Lead Data Scientist - Deep Learning Practitioner - Capital One eFinancialCareers

Associate Project Manager | Ocado Intelligent Automation | Hatfield | Hybrid (2 days office)

About us:

Ocado OIA (Ocado Intelligent Automation) is a division within Ocado Technology that focuses on developing advanced automation and robotics systems for Ocado's smart warehouses and fulfilment centres. This unit works on creating solutions that enable the automation of various logistical tasks, including order picking, packing, and inventory management, often using robotics, AI, and machine learning to optimise these processes.

OIA's technology is integral to Ocado's strategy of licensing its logistics and fulfilment solutions to other retailers worldwide, helping them build automated, efficient, and scalable online grocery operations.

About the Role:

There is an opportunity for an OIA Associate Project Manager to join the team, who will support client implementation projects. Role and responsibilities include;

  • Collaborating with the Senior Project Manager on design and build, focusing on cost, timelines, scope, and safety
  • Building strong relationships with stakeholders, customers, and team members
  • Coordinating sub-workstream schedules and holding teams accountable
  • Tracking the programme budget with the finance team, validating workstream costs
  • Driving change management for efficient sign-off of site enhancements and deviations
  • Managing risks proactively to minimise project impact
  • Supporting project/site design sign-off
  • Resolving issues and queries for internal and external stakeholders
  • Delivering consistent project reporting on status, actions, risks, and issues
  • Motivating the project team to achieve milestones
  • Promoting continuous improvement within the programme management team
  • Monitoring progress against Ocado Project Methodology

What we're looking for:

  • Project management experience, ideally in a similar or transferable industry
  • Proven ability to build and manage complex project schedules and budgets
  • Strong communication skills for engaging stakeholders at all levels, both internally and externally
  • Ability to prioritise effectively and adapt to change
  • Experience in delivering projects to target and budget, driving tasks to completion
  • Stakeholder engagement experience, with the ability to influence outcomes
  • Skill in creating clear, concise project reports for various audiences (clients, executives, and internal teams)
  • Highly organised with excellent attention to detail
  • Experience with PPM tools
  • Proficiency in MS Office and Google Workspace

What do I get in return:

  • Hybrid working model (2 days in the office)
  • Remote working for the month of August and 50% of December
  • 25 days annual leave, rising to 27 days after 5 years service (plus optional holiday purchase)
  • Pension scheme (various options available including employer contribution matching up to 7%)
  • Private Medical Insurance
  • 22 weeks paid maternity leave and 6 weeks paid paternity leave (once relevant service requirements complete)
  • Train Ticket loan (interest-free)
  • Cycle to Work Scheme
  • Opportunity to participate in Share save and Buy as You Earn share schemes
  • 15% discount on Ocado.com and free delivery for all employees
  • Income Protection(can be up to 50% of salary for 3 years) and Life Assurance (3 x annual salary)
  • Free shuttle bus to and from Hatfield Train Station to the Hatfield HQ offices

#LI-OIA

#LI-HYBRID

#LI-JT1YmJnZW5lcmljLjk0MTg3LjEyMjcxQG9jYWRvcHJvZC5hcGxpdHJhay5jb20.gif

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.