Member of Technical Staff, Machine Learning

Location: San Francisco, CA
Employment Type: Full-Time
Work Arrangement: Onsite

About the Company

Our client is an early-stage AI startup building next-generation machine learning systems that transform large-scale multimodal data into structured intelligence for real-world applications.

Working at the intersection of foundation models, computer vision and robotics, the team is developing cutting-edge Vision-Language Models (VLMs) and multimodal AI systems capable of understanding complex video and sensor data at scale. Their technology supports customers solving challenging problems across autonomy, robotics and industrial AI.

The founding team brings deep expertise in large-scale machine learning, distributed systems, AI infrastructure and applied research, with experience building production AI systems and publishing at leading machine learning conferences.

About the Role

We're looking for an exceptional Machine Learning Engineer / Member of Technical Staff to help develop state-of-the-art multimodal AI systems.

This role sits at the intersection of frontier AI research and production engineering, focusing on training, fine-tuning and deploying large-scale Vision-Language Models capable of understanding motion and real-world environments from video data.

You'll work directly with a highly technical founding team, helping shape both the research roadmap and the core machine learning platform from an early stage.

Responsibilities

• Train, fine-tune and evaluate large-scale Vision-Language Models and multimodal foundation models.
• Design and optimize GPU-accelerated training, inference and evaluation pipelines.
• Develop multimodal architectures capable of reasoning over video, language and sensor data.
• Build evaluation frameworks for benchmarking model performance across complex reasoning tasks.
• Develop scalable data curation pipelines that improve model quality through automated dataset generation.
• Collaborate closely with leadership to take research ideas from experimentation into production.
• Contribute to cutting-edge research while building production-ready AI systems.

Required Experience

• Strong Python and PyTorch development experience.
• Experience training or fine-tuning foundation models, Vision-Language Models or other multimodal AI systems.
• Strong understanding of modern deep learning workflows and large-scale experimentation.
• Experience working with video, image or sensor-based machine learning datasets.
• Knowledge of embeddings, retrieval systems and GPU optimization techniques.
• Ability to work independently in a fast-paced startup environment.

Preferred Experience

• Publications or research experience in machine learning, computer vision or multimodal AI.
• Experience with distributed training, vector databases or ML orchestration platforms.
• Contributions to open-source machine learning frameworks.
• Previous experience within robotics, autonomous systems or computer vision.

Why Join?

• Build frontier AI technology with real-world impact.
• Work directly alongside an experienced technical founding team.
• Significant ownership over both research and engineering decisions.
• Opportunity to influence the direction of an ambitious, early-stage AI company.
• Competitive compensation package including meaningful equity.

Senior Data Analyst – Healthcare

A Global Digital Health Leader based in London is currently searching for a Senior Data Analyst to take ownership of data modelling and reporting, driving data-led decision making across the business as part of a large-scale transformation programme.

The successful applicant will be responsible for working with Senior Leadership to develop and maintain robust data models, build insightful Power BI dashboards, and ensure data accuracy and accessibility across technology and business operations.

Location: London or Burton Upon Trent, once a week in the office.

Salary: £60,000 to £70,000 + Benefits

To be considered:

• Proven expertise in SQL for querying, transforming, and analysing large datasets.
• Strong experience building and maintaining dashboards and reports in Power BI.
• Solid understanding of data modelling principles and best practices.
• Databricks experience is desirable but not essential.
• Strong stakeholder communication skills, collaborating across Finance, Ops, and Tech.

This is a high-impact role at the intersection of data and business strategy. If you're ready to drive meaningful insight and impact in a healthcare-focused environment, please apply via the link below.

A well-funded, human-centered robotics company building AI-powered humanoid robots designed to work alongside people, starting in manufacturing and logistics, with healthcare and home applications on the roadmap.

The Role

They're looking for a seasoned Staff TPM to lead complex, cross-functional programs spanning multiple product lines and engineering orgs. You'll set strategic direction for how programs are planned and executed, align executive stakeholders with engineering leadership, and shape the technical and operational frameworks that let the company deliver humanoid robots at scale. This includes mentoring other PMs and acting as a trusted partner to engineering leaders on the highest-risk, highest-visibility initiatives in the business.

What You'll Own

• End-to-end program execution: setting direction, identifying resource needs, and owning accountability for company goals and roadmap
• Cross-org orchestration across engineering, operations, supply chain, finance, and executive leadership
• Long-range program strategy, scheduling, milestones, and execution frameworks that scale across multiple programs
• Proactive communication of status, risk, and trade-offs up to executive stakeholders
• Mentorship of other TPMs and continuous improvement of program management practices and tooling

What They're Looking For

• Extensive experience leading full hardware + software product lifecycles from concept through scaled production, across multiple concurrent programs
• Deep technical fluency to engage as a peer with engineering on architecture, interface definition, and hard technical trade-offs, not just schedule management
• Proven NPI experience: multiple products taken from prototype to manufacturing, including DFM/DFA and ramp management
• Strong cross-disciplinary coordination across mechanical, electrical, firmware, software, and AI/ML teams
• Track record of driving measurable outcomes at scale and managing critical path across a portfolio
• Experience scaling hardware/software platforms into commercial production
• Ability to align competing priorities across product, engineering, and execs in a fast-paced, resource-constrained environment

Requirements

• Bachelor's in EE, CS, ME, or Applied Physics
• 10+ years in program or engineering management, including cross-functional hardware/software leadership at a senior or staff level
• Robotics experience strongly preferred; Master's in Engineering a plus

Key details

Rate - £500-£550 (outside IR35)

Duration – 6months

Work pattern – remote, occasional travel to Netherlands (expenses covered)

Overview

We are seeking an experienced Senior PMO to support the delivery of a complex HR Transformation programme. This role will provide programme governance, planning, executive reporting and resource management, ensuring the programme remains organised, on track and responsive to changing priorities.

Previous experience supporting an end-to-end HR Transformation programme is essential. Experience with Workday is desirable but not required.

Key Responsibilities

• Provide PMO leadership across programme governance, planning and delivery.
• Maintain programme schedules, roadmaps, milestones and dependencies.
• Manage RAID logs, actions and programme controls.
• Develop and maintain resource plans, balancing capacity and reallocating resources as priorities change.
• Support senior stakeholders with programme reporting, planning and decision-making.
• Ensure appropriate handling of highly confidential HR and organisational information.

Essential Experience

• Proven experience as a Senior PMO
• Previous HR Transformation programme experience (essential).
• Strong programme planning, governance and executive reporting skills.
• Experience managing resource plans, capacity and prioritisation.
• Excellent stakeholder management and organisational skills.
• Ability to work with discretion and confidentiality.

Desirable

• Experience supporting a Workday implementation.
• Knowledge of HR systems and operating model transformation.
• Experience with PMO tools such as Microsoft Project, Smartsheet, Jira or Azure DevOps.

If you are interested, please apply with your updated CV highlighting your experience in the above. If you are unavailable, recommendations are also appreciated!

t.wilson@lawrenceharvey.com

Senior SAP Basis Consultant

We are working with a leading contractor in their field, to add talent to their SAP Basis Team. As Basis Consultant, you will be tasked with helping navigate their transformation from ECC to S/4HANA

Key Responsibilities

• Deliver SAP Basis administration, support, and troubleshooting across production and non-production environments.

• Plan and implement system installations, upgrades, patches, and maintenance activities.

• Monitor system performance and identify opportunities for optimisation and automation.

• Support SAP projects by providing technical Basis expertise.

• Work closely with infrastructure, network, database, and application teams to deliver reliable services.

• Maintain compliance with support, security, and operational standards.

• Produce and maintain technical documentation and operational procedures.

• Support emerging SAP technologies, including cloud platforms and integration services

Skills & Experience

• Minimum 5 years' SAP Basis experience within enterprise environments.

• Strong hands-on experience with SAP installations, upgrades, patching, system administration, and performance tuning.

• Experience supporting SAP solutions including ECC, BW etc.

• Exposure to SAP cloud technologies such as BTP and SuccessFactors

• Experience with SAP transport management, system copy, and archiving tools.

• Excellent troubleshooting, stakeholder management, and communication skills.