Lawrence Harvey

About the Company

Lawrence Harvey, established in 2002, is an international recruitment business specializing in Technology recruitment. Our consultants are specialists in their specific fields of recruitment, therefore we have expert recruiters in Enterprise Applications, CRM, Data & Analytics, Security, Infrastructure & Development and Business Advisory & Strategy.

We are part of a larger group business, LHi Group Ltd, which has multiple non-competing brands specializing in Life Sciences, Energy and The Built Environment.

With multilingual consultants and offerings in UK, USA, France, Holland and the DACH region we have an unparalleled network across Europe and a global reputation for expertise. Our consultants are true specialists in their niche markets; their in-depth technical knowledge and experience sets Lawrence Harvey apart from our competitors.

Recently listed 8th in The Sunday Times 'The Best 100 Companies to work for', our investment in our people gives us the expertise and network to add real value to our relationships. With a focus on specialist markets and a consistent delivery of results, Lawrence Harvey is a client and candidate's first choice, every time.

Recent Achievements:
2017 - Listed 8th in The Sunday Times 'Top 100 Best Companies to work for'
2015 - Listed 7th in The Sunday Times 'Best 100 Companies to work for'
2014 - Listed 34th in The Sunday Times 'Best 100 Companies to work for'
2013 - REC IRP AWARDS - Best Newcomer - Winner
2013 - REC IRP AWARDS - Best Company to work for- Finalist
2013 - REC IRP AWARDS - Back Office Team of the year - Highly Commended
2012 - NATIONAL TRAINING AWARDS - Winner

Listed Jobs

Company Name

Lawrence Harvey

Job Title

Head of ML

Job Description

**Job Title:** Head of Machine Learning **Role Summary:** Strategic leader responsible for defining and executing the organization’s ML vision and roadmap. Oversees a distributed team of 10 data scientists and ML engineers, ensuring end‑to‑end model development, deployment, and operational excellence while collaborating with product and engineering to deliver AI‑driven business value. **Expectations:** - 7+ years of professional experience in Machine Learning / Data Science. - Minimum 2 years in a people‑management or leadership role. - Proven record of taking ML/DL models from prototype to production at scale. - Ability to lead remote, cross‑functional teams and foster a collaborative culture. **Key Responsibilities:** - Define, own, and communicate the ML strategy, roadmap, and priorities. - Lead, mentor, and scale a distributed team of 10 ML experts. - Design, train, and deploy machine‑learning and deep‑learning models. - Implement and champion MLOps practices for scalable, reliable production pipelines. - Partner with product management and engineering to integrate AI solutions that meet business objectives. - Monitor industry trends and introduce innovative techniques to maintain competitive advantage. **Required Skills:** - Expertise with ML frameworks: PyTorch, TensorFlow, Scikit‑learn. - Strong programming proficiency in Python (and optionally R, Java, or C++). - Experience with cloud platforms: AWS, GCP, or Azure (including services for ML and data pipelines). - Solid understanding of data engineering, model monitoring, and CI/CD for ML. - Leadership, communication, and stakeholder management skills. - Ability to operate effectively in a remote‑first, international environment. **Required Education & Certifications:** - Master’s degree or Ph.D. in Computer Science, Mathematics, Statistics, or a related quantitative field. - Relevant certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer) are a plus but not mandatory.

Paris, France

On site

Junior

15-09-2025

Company Name

Lawrence Harvey

Job Title

Senior Front-End Engineer

Job Description

**Job Title** Senior Front-End Engineer **Role Summary** Lead the design, development, and maintenance of large‑scale, high‑traffic web applications. Work within an Agile environment to deliver accessible, performant, and test‑driven user interfaces across multiple cross‑functional teams. **Expectations** - Manage front‑end architecture and coding standards for complex systems. - Mentor and influence junior developers on best practices and technical decisions. - Deliver robust, accessible UI components that meet WCAG compliance. - Collaborate with back‑end, DevOps, and product teams to integrate services and deploy to cloud platforms. **Key Responsibilities** - Architect and implement reusable UI components using HTML, CSS, JavaScript/TypeScript, and modern frameworks (React/Vue/Angular). - Write comprehensive unit tests with Jest, Mocha, or equivalent frameworks, ensuring high coverage. - Integrate front‑end with SQL/NoSQL databases, Redis caching, and REST/GraphQL micro‑services. - Optimize performance, accessibility, and SEO across browsers and devices. - Participate in code reviews, sprint planning, and continuous improvement initiatives. - Lead front‑end sprint activities, defining tasks, estimating effort, and tracking progress. **Required Skills** - 5+ years of professional front‑end development experience. - Deep proficiency in HTML5, CSS3, JavaScript (ES6+), TypeScript, Node.js. - Extensive experience with at least one modern front‑end framework (React, Vue, Angular). - Strong understanding of responsive design and cross‑browser compatibility. - Hands‑on experience with Jest, Mocha, or similar unit testing frameworks. - Ability to integrate with databases (SQL/NoSQL), Redis, and micro‑service APIs. - Familiarity with cloud platforms (AWS, Azure) and CI/CD pipelines. - Knowledge of WCAG accessibility standards and inclusive design principles. - Excellent communication, collaboration, and mentorship skills in Agile teams. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field (preferred). - Relevant certifications (e.g., AWS Certified Developer, Azure Developer Associate) are a plus.

Leeds, United kingdom

On site

Senior

03-10-2025

Company Name

Lawrence Harvey

Job Title

AI Specialist

Job Description

**Job Title:** AI Specialist **Role Summary:** Lead the strategy, design, and delivery of enterprise AI initiatives, ensuring alignment with architecture standards, risk frameworks, and regulatory requirements. Serve as a thought leader on AI governance and drive AI literacy across technical and business teams. **Expectations:** - Deliver responsible, high‑value AI solutions that meet compliance and performance standards. - Influence senior stakeholders and guide cross‑functional teams in AI adoption. - Continuously evaluate emerging AI technologies and vendor offerings for suitability. **Key Responsibilities:** - Define and execute AI roadmaps within the enterprise architecture and risk management context. - Partner with AI Governance Officer, business leaders, and engineering squads to translate concepts into production‑ready AI applications. - Assess, select, and integrate AI/ML platforms, large language models, open‑source tools, and third‑party solutions. - Establish and promote AI governance policies, standards, and alignment with frameworks such as NIST, ISO, and the UK/EU AI Act. - Conduct training and awareness programs to enhance AI literacy across the organization. **Required Skills:** - 8+ years of experience in technology strategy, innovation, or architecture, preferably in financial services or other highly regulated sectors. - Deep knowledge of AI/ML ecosystems, cloud services (e.g., AWS, Azure, GCP), and enterprise data architectures. - Proven track record of evaluating and integrating AI solutions, including LLMs and ML platforms. - Strong communication ability to convey technical concepts to senior non‑technical audiences. - Thought leadership in AI governance and regulatory compliance. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related field. - Advanced certifications in AI, machine learning, or cloud architecture (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Data Engineer, Microsoft Certified: Azure AI Engineer Associate) are a plus.

Iselin, United states

Hybrid

10-10-2025

Company Name

Lawrence Harvey

Job Title

Senior Site Reliability Engineer

Job Description

**Job Title:** Senior Site Reliability Engineer **Role Summary:** Lead the establishment of a Core SRE team within a Tier‑1 financial institution, defining and implementing SRE best practices, driving reliability, performance, and scalability across global technology and security domains. **Expactations:** - Deliver reliable, high‑performance systems through proactive monitoring, automation, and capacity planning. - Lead incident response, root‑cause analysis, and post‑mortem processes to prevent recurrence. - Champion SRE culture and collaborate with cross‑functional teams to embed continuous‑improvement practices. **Key Responsibilities:** - Design and maintain monitoring, alerting, and reliability frameworks. - Automate operational tasks to improve efficiency and resilience. - Optimize system performance and resource utilization. - Manage incident lifecycle, conduct RCA, and implement preventive measures. - Provide technical guidance and mentorship to junior engineers. - Advocate SRE principles across technology and information‑security teams globally. **Required Skills:** - 5+ years in reliability engineering or related role. - Strong programming/scripting (Python, PowerShell, Go). - Proven incident management/response experience. - Deep knowledge of cloud platforms (Azure, AWS, GCP). - Expertise in system engineering, automation, and infrastructure‑as‑code. - Excellent written and verbal communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Engineering, or a related discipline (or equivalent professional experience). - Relevant cloud certifications (e.g., AWS Certified Solutions Architect, Azure Administrator, GCP Professional Cloud Engineer) are a plus.

Glasgow, United kingdom

Hybrid

Senior

15-10-2025