IAM Security Manager

Salary: £130-140k + Bonus + Benefits

Location: Fully Remote (UK / European Union)

Brand new role with a major UK brand who are building their Identity & Access Management (IAM) capability from the ground up. This is a completely greenfield role and project, tying into their wider cloud-native (AWS) infrastructure, where you'll have full autonomy to build a best in class, modern IAM capability.

First and foremost, they need a genuine builder: someone who can integrate IAM into their wider cloud-native infrastructure through infrastructure-as-code and policy-as-code, automating identity governance rather than just implementing off-the-shelf tooling. Platform knowledge across the likes of Okta, Azure AD, SailPoint and CyberArk is assumed for anyone at this level; it's the ability to build something genuinely automated and scalable that sets the right candidate apart.

You'll be embedded right across the business, working hand in hand with security, IT, HR, engineering and business leaders and shaping how identity is handled at every touchpoint, from the employee estate through to customer facing platforms. With full backing from the CISO and Head of Security Engineering, you'll have the autonomy, trust and executive support to build and lead this function from the ground up.

Key Responsibilities

• Build and automate IAM into the wider cloud-native (AWS) infrastructure through infrastructure-as-code and policy-as-code
• Define and deliver the enterprise wide IAM strategy and roadmap
• Build and lead a high performing IAM team
• Own policy for MFA, privileged access, least privilege and identity lifecycle management
• Select and manage modern IAM tools and platforms, ensuring controls meet regulatory and compliance requirements

Key Requirements

• A genuine builder mindset, with hands-on experience automating IAM through infrastructure-as-code and policy-as-code in cloud-native (AWS) environments
• Senior level experience in Identity & Access Management, with deep knowledge of IAM, PAM, MFA, federation and identity governance
• Experience delivering IAM solutions across enterprise and customer facing systems
• Familiarity with platforms such as Okta, Azure AD, SailPoint and CyberArk
• Excellent leadership and stakeholder management skills

This is a rare chance to build an IAM function from scratch with genuine ownership, inside a modern, cloud native environment with strong executive support. If you're excited about shaping the future of identity for a major UK consumer brand, get in touch.

Controls Engineer

$125k-150k base salary

Various locations - Dallas TX, Joplin MO, Tuscaloosa AL, Phillipsburg KS, Frederick MD

I’m currently partnering with a US-based building materials manufacturer who are looking for multiple Controls Engineers including senior to mid-level junior candidates to support their strategic mission. The location of this position can be flexible but they’re ideally looking for someone within 50 miles of one of their following US locations (states include TX, MO, AL, KD, MD).

These are new roles within the organization and will be responsible for developing, deploying and supporting PLC control systems for continuous manufacturing environments, with a strong focus on creating scalable, standardized control solutions across multiple manufacturing facilities. The role will focus on developing PLC function blocks, maintaining company-wide controls standards, producing technical documentation and supporting troubleshooting activities across multiple manufacturing facilities as well as working closely with internal teams/stakeholders to establish and enforce controls standards across the business.

Key Skills & Experience:

• Demonstrable experience operating as a Controls Engineering professional within the manufacturing space (4+ years experience)
• Hands-on experience developing, deploying and supporting control system software for equipment
• Siemens TIA Portal experience is crucial, alongside strong PLC programming, process control and automation expertise
• Ideally have experience with automating processes
• Experience with web handling systems would be a significant advantage

Hit apply now if you're the role, or email a copy of your resume directly to t.piazza@lawrenceharvey.com

About:

I'm partnering with a well-funded venture-backed startup that's building next-generation trading infrastructure and is looking to hire a Protocol Engineer to join its core engineering team.

This is an opportunity to work directly with the founders and help build ultra-low-latency systems powering quantitative crypto trading. The company has recently expanded into quantitative trading after successfully building infrastructure in the digital asset space and is now investing heavily in its core trading platform.

What You'll Do

• Design and build high-performance trading infrastructure in Rust.
• Integrate with centralized and decentralized exchange APIs.
• Build reliable, low-latency systems for real-time trading.
• Optimize performance across critical execution paths.
• Work closely with the founding team on architecture and technical direction.
• Help shape the engineering culture as the company scales.

What They're Looking For

• Expert-level Rust experience.
• Experience building low-latency, high-performance, or trading systems.
• Experience integrating with financial exchange APIs.
• Strong systems programming background.
• Ability to thrive in a small, fast-moving engineering team.

Staff / Principal Platform Engineer (Rust) — Fully Remote, US Citizens or Green Card Holders Only

A fast-growing, well-funded AI platform company is hiring a senior Rust engineer to help build out the data infrastructure powering their agentic AI platform. This one's for someone who wants to come into a system that's already in production, decide what's worth keeping and what needs a rebuild, and actually own that call.

You'll be working on the data management, ingestion, and integrations side of the house, think database schemas, data pipelines, microservices, and connectors, all built in Rust. There's also real crossover with the team building out agentic memory and orchestration, so if you've got an itch to work on cutting edge agent infrastructure, this is a rare seat to do it from.

The engineering culture here is genuinely engineering led. No top down roadmap dictation, teams propose what needs building and go build it. If that sounds like the kind of autonomy you've been chasing, keep reading.

What you'll need:

• Serious Rust experience, not just familiarity, ideally a few years deep at the systems level
• Comfort across high performance systems, distributed systems, and general feature/web work in Rust
• Strong database and data management background, this matters more than observability or QA tooling experience
• Experience building microservices and integrations that tie multiple data sources together
• The confidence to look at an existing system and say "this part stays, this part gets rebuilt" and back that judgment
• Startup experience where you owned technical direction is a plus

Eligibility: Must be a US citizen or green card holder and domiciled in the US, no visa sponsorship available (due to the nature of their clients). Fully remote across the US.

Compensation: $2-300k base DOE. Base salary plus pre-IPO equity.

• Staff Applied Machine Learning Engineer
• Remote (must be based in USA)
• Work Authorization: US Citizenship or Green Card required due to government contract requirements
• $230-280,000 base + Equity + Benefits 

About the Opportunity

Our client is a rapidly growing, venture-backed AI company building secure, enterprise-grade AI solutions for highly regulated industries. Their platform helps organizations unlock the value of complex data by embedding AI into mission-critical workflows, improving decision-making, operational efficiency, and knowledge discovery.

As the company continues to scale, they are investing heavily in next-generation AI capabilities, including search, knowledge exploration, semantic reasoning, and agentic AI. This is an opportunity to join a high-caliber engineering team tackling technically challenging problems at production scale while helping shape the future direction of the platform.

The Role

As a Staff Applied Machine Learning Engineer, you will design, build, and deploy advanced machine learning solutions that power intelligent search, knowledge exploration, and AI-driven workflows.

You'll work closely with product, platform, and engineering teams to develop production-grade ML systems, combining strong software engineering fundamentals with expertise in modern AI techniques. This is a highly technical individual contributor role with significant ownership and influence over architectural decisions.
 

Responsibilities

• Lead the design, development, and deployment of machine learning models for large-scale production systems.
• Design and build intelligent search and knowledge exploration capabilities using modern ML techniques.
• Develop systems involving knowledge graphs, semantic representations, and advanced entity understanding.
• Collaborate with engineering and product teams to deliver end-to-end machine learning solutions.
• Evaluate model performance, runtime efficiency, and scalability in production environments.
• Communicate technical decisions, trade-offs, and recommendations to both technical and non-technical stakeholders.
• Build high-quality enterprise software while maintaining a fast pace of delivery.
• Take ownership of projects from design through implementation, deployment, and ongoing support.
• Troubleshoot and support distributed production systems.
• Stay current with advances in AI and machine learning and apply emerging techniques where appropriate.

Required Qualifications

• US Citizenship or Green Card required.
• Bachelor's or Master's degree in Computer Science, Machine Learning, NLP, or a related field. A PhD is strongly preferred.
• 10+ years of experience building and deploying production machine learning systems.
• Strong background in Natural Language Processing (NLP), information retrieval, or semantic search.
• Experience designing and supporting knowledge graph or semantic representation systems.
• Proven experience building and deploying Agentic AI systems, including orchestration, tool use, reasoning workflows, and context management.
• Strong software engineering skills with experience building scalable distributed systems.
• Experience working with production ML systems throughout their lifecycle.
• Excellent communication and cross-functional collaboration skills.
• Experience leveraging modern AI tools to improve engineering productivity.
• Demonstrated curiosity, adaptability, and a continuous learning mindset.

Preferred Qualifications

• PhD in Computer Science, Machine Learning, Artificial Intelligence, NLP, or a related discipline.
• Experience working in startup or high-growth environments, particularly building 0→1 products.
• Familiarity with Kubernetes and cloud-native infrastructure.
• Experience integrating machine learning models into large-scale enterprise platforms.

Why Join?

• Join a fast-growing, well-funded AI company solving complex real-world problems.
• Work on cutting-edge technologies including Agentic AI, NLP, search, knowledge graphs, and semantic reasoning.
• Collaborate with an experienced engineering team that values technical excellence, ownership, and innovation.
• Competitive compensation and meaningful pre-IPO equity.
• Fully remote position within the United States.