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Lawrence Harvey

Lawrence Harvey

www.lawrenceharvey.com

6 Jobs

170 Employees

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 background Company brand
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 background Company brand
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 background Company brand
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
Company background Company brand
Company Name
Lawrence Harvey
Job Title
Head of Privacy / Data Protection Officer
Job Description
**Job Title**: Head of Privacy / Data Protection Officer **Role Summary** Responsible for creating, leading, and continuously improving a worldwide privacy and data protection program for a global tech/digital company. Acts as the chief privacy officer, liaising with regulators, embedding privacy by design, and overseeing all privacy compliance activities across more than 100 jurisdictions. **Expectations** - Serve as the company’s Data Protection Officer (DPO) and primary privacy lead. - Develop and maintain a global privacy framework that satisfies GDPR, CCPA, and other regional regimes. - Manage privacy governance programs, including DPIAs, ROPAs, data mapping, and vendor assessments. - Collaborate with product, engineering, legal, and business units to embed privacy into product strategy and operations. - Draft, review, and negotiate privacy clauses in contracts and partnership agreements. - Represent the company to regulators, respond to inquiries, and coordinate investigations. **Key Responsibilities** 1. Design, implement, and update the global privacy strategy and policies. 2. Lead privacy governance, risk assessment, and incident response processes. 3. Conduct and oversee DPIAs, ROPAs, data inventories, and vendor risk reviews. 4. Embed privacy by design with product, engineering, and design teams. 5. Draft and negotiate privacy-related contractual provisions and third‑party agreements. 6. Liaise with supervisory authorities on regulatory queries, investigations, and audits. 7. Provide privacy training and awareness programs for staff. 8. Monitor regulatory developments and advise on compliance implications. **Required Skills** - Legal expertise in privacy and data protection law, with deep knowledge of GDPR, CCPA, and other international regulations. - Strong negotiation and drafting skills for contracts and agreements. - Experience leading privacy governance, DPIAs, ROPAs, data mapping, and vendor assessments. - Ability to translate legal requirements into actionable privacy-by-design practices. - Excellent communication and stakeholder management, including interactions with regulators. - Analytical mindset for risk assessment and compliance monitoring. - Proven ability to work in a technology‑focused, product‑led environment. **Required Education & Certifications** - Qualified lawyer (qualified to practice law). - Minimum 6 + years of post‑qualification experience (PQE). - Preference for prior experience in private practice at an international law firm. - Demonstrated knowledge of global data protection regulations.
London, United kingdom
Hybrid
30-10-2025