Head of People Partnership

London, United Kingdom
Last week
Seniority
Director
Posted
5 May 2026 (Last week)

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

The role

This is one of the most important roles in the PhysicsX people function. The Head of People Partnership is the primary architect of how we develop, support and retain our people — and a trusted voice to the executive team on all matters of organisational health, culture and performance.

This is not a traditional HR leadership role. This role sits at the intersection of people strategy and business strategy. You will be expected to operate with full autonomy, shape how PhysicsX thinks about its organisation — not just how the people team operates — and be accountable for the performance of a significant part of the business: its people and the leaders who lead them.

You will report directly to the Chief People Officer and work as a genuine partner to the CEO, COO and functional leadership team.


What you will own

Organisational strategy & design

  • Lead organisational design across PhysicsX — team structures, spans of control, role clarity and how the organisation evolves as we scale
  • Serve as the primary people strategy advisor to senior leaders
  • Shape PhysicsX's talent strategy and ways of working at the company level; maintain an enterprise-wide perspective that connects people, strategy and execution
  • Propose and drive people strategy initiatives end-to-end; a key voice in company-level decisions

Change management & organisational effectiveness

  • Lead the people dimension of organisational change — rapid headcount growth, cultural evolution, restructures and new ways of working
  • Design and execute change management strategies that bring employees and managers with us through significant transitions, not just inform them of outcomes
  • Identify organisational health risks early — team dynamics, leadership gaps, cultural drift — and act on them before they become business problems
  • Support leaders in building change-ready teams that can operate effectively through ambiguity

Performance & development

  • Own the PhysicsX performance management framework — its design, its application and its continuous improvement
  • Design and lead leadership development programmes that build the capability of managers and senior leaders across the company, not just within your immediate team
  • Create the conditions for a high-performing, inclusive organisation at scale — one that sustains high performance without sacrificing care
  • Drive consistent and rigorous promotion and levelling calibration processes across PhysicsX, exercising independent judgment and holding the bar

Compensation, levelling & workforce planning

  • Exercise independent judgment on levelling decisions, compensation equity and promotion calibrations — working closely with the CPO and Finance to ensure decisions are fair, consistent and market-informed
  • Own workforce planning for your business areas — headcount modelling, attrition forecasting, skills gap analysis and scenario planning — grounded in both business need and people reality
  • Partner with the Head of Talent and People Ops & Data on forward-looking capability planning, ensuring the business always has the people it needs to execute its strategy
  • Provide the executive team with a clear view of organisational capability — where we are strong, where we are exposed and what we need to do about it

Employee relations & culture

  • Own the most complex, sensitive and consequential employee relations matters at PhysicsX — exercising independent judgment at all times
  • Shape culture by example and by holding the standard; trusted by the executive team as the authoritative voice on people and performance
  • Surface patterns, risks and opportunities from across the organisation to the executive team before they become problems

Diversity, equity & inclusion

  • Own the DEI agenda within your business areas — not as a separate programme but embedded in how we hire, develop, promote and retain people at PhysicsX
  • Ensure levelling calibrations, performance assessments and promotion decisions are applied equitably and that bias is actively named and addressed
  • Partner with the Head of Talent to embed inclusion into hiring processes from the outset
  • Use people data to track diversity outcomes over time and hold the business accountable for progress

Data-driven people advisory

  • Build and use a data-driven view of your business population — engagement signals, attrition risk, performance distribution, pay equity — and act on what you see
  • Bring people data into leadership conversations as a matter of course, not as an occasional supplement to intuition
  • Partner with People Ops & Data to ensure the metrics that matter for your business areas are tracked, visible and informing decisions

People function leadership

  • Lead the People Partnership function with full ownership of outcomes
  • Manage and develop a lean, high-performing team: a HRBP (US-based)
  • Partner closely with the Heads of Talent, People Ops & Data, and Workplace & Employee Experience — actively using the intentional tension between functions to keep the employee experience honest and joined up

What we are looking for

Experience & background

  • Significant experience as a senior HR or people leader in a high-growth technology company — ideally one where the talent bar is exceptionally high and the pace of change is relentless
  • A track record of operating as a genuine strategic partner to an executive team — not just delivering what is asked, but shaping the agenda
  • Deep expertise across the full people partnership remit: organisational design, performance management, employee relations, culture, leadership development, change management and workforce planning
  • Proven experience designing and leading change management at scale — restructures, rapid growth phases, cultural transformation
  • Strong commercial fluency — you understand how the business makes money, how it competes, and what that means for how we build and deploy our people
  • Experience exercising independent judgment on levelling, compensation equity and promotion calibration decisions
  • Demonstrable experience building data-driven people advisory practices — you use metrics, not just instincts
  • Experience leading and developing people leaders — you have built teams before, and the people you have managed have gone on to do significant things
  • Demonstrable experience navigating complex, sensitive employee matters with sound judgment, legal awareness and genuine care
  • Experience working across multiple geographies is strongly preferred; solid knowledge of UK employment law is essential; familiarity with US employment law is a strong advantage
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.

Related Jobs

View all jobs
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Head of Asset Management

Faculty AI London, United Kingdom
On-site

Head of EMEA Product Partnerships

OpenAI London, United Kingdom
Hybrid

Head of Translational Sciences, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom
On-site

Head of Chemistry, Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom

Head of Computational Drug Design, Cambridge, MA

Isomorphic Labs Cambridge, United Kingdom

Content & Communications Strategist

PhysicsX London, United Kingdom

Industry Insights

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

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.