Talent Partner

Luminance
London, United Kingdom
Last month
Job Type
Permanent
Work Location
On-site
Posted
31 Mar 2026 (Last month)

The Opportunity

Luminance is the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World' and Inc. 5000's ‘Fastest Growing Companies in America', Luminance is disrupting how professionals work with contracts around the globe.

Luminance has grown by 5x over the last 2 years, raised a $75m Series C funding round in 2025 and has rapidly expanded globally, with enterprise customers such as AMD, DHL and Koch, Inc. We are looking for ambitious, high achievers ready to join us in taking our organisation to the next level.

This position is the first of its kind for Luminance, and as such, requires a candidate looking to make the role their own and drive change. The Talent Partner role is responsible for building and scaling a high-performing recruitment function within a fast-paced business, with steep growth ambitions. This role combines hands-on hiring delivery with the development of robust recruitment and onboarding infrastructure. The Talent Partner will drive consistent, high-quality hiring practices, directly source top talent, and partner with internal stakeholders and external agencies to support business growth.

This role will report into the HR Director and be based in the London Head Office minimally 3 days per week. We are also hiring for the US counterpart for this role, which will be based in New York.

Roles and Responsibilities

1. Recruitment Infrastructure & Process Development

  • Establish best-in-class hiring frameworks, including interview structures, scorecards, and evaluation criteria.
  • Own and optimise the company’s Applicant Tracking System (ATS), ensuring data integrity, usability, and adoption across teams.
  • Develop recruitment policies, SLAs, and governance to standardise hiring practices company-wide
  • Introduce reporting and analytics to track hiring performance, pipeline health, and time-to-hire.
  • Working closely with the HR team to gather candidate feedback and implement improvements to enhance both candidate and hiring manager experience.

2. Independent Talent Sourcing, Working with Agency Partners & Hiring Delivery

  • Proactively source and engage high-quality candidates using a variety of channels (LinkedIn, networks, referrals, events, etc.).
  • Conduct first stage screening for candidates.
  • Manage full-cycle recruitment across key roles, from briefing through to offer and close.
  • Build and maintain talent pipelines for critical and future hiring needs.
  • Establish and manage relationships with external recruitment agencies and search partners.
  • Define agency usage strategy, ensuring cost-effectiveness and quality of delivery.
  • Set clear expectations, performance metrics, and feedback loops for agency partners.
  • Negotiate terms and ensure alignment with company hiring standards and processes.

3. ATS Engagement & Adoption

  • Drive adoption and consistent usage of the Applicant Tracking System (ATS), across all hiring teams.
  • Train hiring managers and interviewers on ATS best practices and recruitment workflows.
  • Ensure all recruitment activity is accurately tracked and compliant within the system.
  • Identify opportunities to automate and streamline workflows within the ATS.

4. Standardisation & Continuous Improvement

  • Champion consistent recruitment practices across all departments and regions.
  • Embed structured, inclusive, and data-driven hiring approaches.
  • Continuously evaluate and refine recruitment processes to improve efficiency and quality.
  • Stay up to date with market trends, tools, and best practices in SaaS hiring.

5. Stakeholder Partnership

  • Work closely with Senior Leadership to report on hiring performance, pipeline health, and time-to-hire.
  • Act as a trusted advisor to hiring managers on talent market insights, compensation benchmarking, and hiring strategy.

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

Engineering Manager - Runtime Team

PolyAI London, United Kingdom

People Partner

Ocado Welwyn Hatfield, United Kingdom
On-site

Staff People Partner, EMEA

Databricks London, United Kingdom

Talent Coordinator

Wayve London, United Kingdom
Hybrid

Talent Pool

Relation Therapeutics London, United Kingdom
Permanent

Senior People Partner - Product

Quantexa London, United Kingdom
Hybrid

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.