Project Manager

London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Analyst

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Data Analyst Placement Programme

Project Manager

We are recruiting for a Project Manager to join the IPS Grow team, in this hybrid working role.

Position: Project Manager

Location: London/Hybrid SE11

Hours: Full-time 

Salary: £56,500 per annum

Contract: Permanent

Closing Date: Monday 3rd March at midday

The Team

IPS Grow is a national programme designed to support the expansion of Individual Placement and Support (IPS) services in mental health, primary care, and drug and alcohol teams across England. The programme is led by the organisation in partnership with the Centre for Mental Health. It is funded by NHS England and Improvement (NHSE/I), the Department for Work and Pensions (DWP), and the Office for Health Improvement and Disparities (OHID).

About the Role

You will primarily be responsible for developing and managing projects. These projects can be incredibly varied with a complex array of stakeholders making for an exciting career. Some of the skills that you will be using include:

Strategic, analytical & creative thinking
Project management
Stakeholder management
People management
Communication skills

Key responsibilities include:

Plan and define project scope: Develop detailed project plans, including scope, objectives, deliverables, timelines, and resource requirements to achieve project goals.
Coordinate and lead teams working in a matrixed way: Assemble, lead, and motivate project teams, ensuring effective collaboration among team members and stakeholders.
Manage budgets and resources: Allocate resources effectively and oversee project budgets to ensure financial goals are met while avoiding cost overruns.
Monitor project progress: Track key performance indicators (KPIs), schedules, and milestones to ensure the project stays on track and meets deadlines.
Risk management: Identify potential risks, develop mitigation strategies, and implement contingency plans to address unforeseen challenges
Quality assurance: Oversee quality control processes to ensure that project deliverables meet organisational standards and commissioner expectations.
Document and report: Maintain comprehensive project documentation and present progress reports to senior management or stakeholders as required.
Lead on evaluation: Conduct lessons learnt sessions and post-project evaluations to assess performance against objectives and provide recommendations for future.

The teamwork from wherever best suits the tasks of the day, coming together in the main London office when that's needed.

About You 

You will have a passion for developing and supporting team members with the ability to organise and structure thinking in developing approaches/plans with teams and clients. You will be able to demonstrate a high level of trust, integrity, empathy, and commitment to driving social change.

We are looking for someone who:

Has an entrepreneurial spirit, curious nature, and comfortable working with ambiguity.
Is a good communicator who is comfortable working with teams, clients, and other stakeholders.
Has a willingness to develop understanding of relevant regulatory compliance and risk management requirements
Has the ability to manage teams to produce accurate, thoughtful, high-quality work to deadlines, understanding and working through client need.

About the Organisation

Since 2007, the organisation has helped to pioneer a series of programmes to improve outcomes for individuals with complex needs. These innovations, including the social impact bond model, have mobilised more than £500 million globally. With sister organisations in the US, Israel, the Netherlands and India the organisation has network of partners across the world.

Equality, diversity and inclusion 

We actively encourage applications from under-represented and minoritised groups, including those with lived experience of the social issues we are working to address. The organisation is an equal opportunities employer and support a range of flexible working options.

The application process uses Applied, a platform developed by the Behavioural Insights Team, to record your application. Applied is focused on using behavioural and data science to improve hiring decisions and minimise unconscious bias in the recruitment process. You will be asked to respond to four situational based questions, which will allow you to express your ability.

Other roles you may have experience with could include Project Manager, Project Lead, Lead Project Manager, Junior Project Manager, Project Facilitator, Project Coordinator, Project Support. #INDNFP

PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.