ML PLATFORMING
TALENT SOLUTIONS
Our expertise in data recruitment uniquely positions us to understand the complexities of Machine Learning Platforming jobs. We recognize the importance of these positions in developing, managing, and optimizing the platforms that underpin successful ML operations.
Our recruitment strategies are designed to identify professionals who are not only skilled in ML technologies but also proficient in creating and maintaining robust ML platforms.
Harnham's extensive global network enables us to tap into a rich talent pool, ensuring access to the best candidates in the ML Platform domain.
Our local market knowledge across the United States, Europe, and the United Kingdom allows us to match your organization with candidates who fit your technical requirements and company culture, ensuring a seamless integration into your team.
WHY
HARNHAM?
Our recruitment strategy is centred on understanding the unique needs and challenges of your organization. We provide a customized approach to ensure we deliver candidates that not only have the required technical expertise for Machine Learning Platforming jobs but also align with your strategic goals and values.
As a leading global authority in data recruitment, Harnham boasts a large team of dedicated specialists who understand the nuances of the ML Platform space.
This extensive network allows us to offer superior recruitment solutions, tailored to the specific needs of your organization, regardless of industry.
With over twenty years in the field, Harnham has a proven track record in data talent acquisition. This experience provides us with the insight to effectively navigate the ML Platform recruitment landscape, ensuring we deliver candidates who can drive your ML initiatives forward.
OUR
SERVICES
As a global leader in data recruitment, our expansive team of specialists offers unrivalled insights and solutions, ensuring we meet the specific needs of your organization, regardless of industry for Machine Learning Platforming jobs.
- Permanent Recruitment: We specialize in identifying long-term talent for your ML Platform team, focusing on candidates who can grow and evolve with your organization.
- Contract Recruitment: Our contract recruitment services offer flexibility, allowing you to adapt to project-specific or interim ML Platform needs with skilled professionals.
- Executive Search: We find industry-leading executives capable of steering your ML Platform strategies towards success and innovation.
Contact us today to explore how our bespoke talent solutions can elevate your organization's ML capabilities.
JOBS
LATEST ML PLATFORMING
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Principal Software Engineer – Data Platform
San Francisco
$230000 - $280000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Principal Software Engineer – Data Platform
San Francisco, CA (Remote Eligible – US Only)
$230K-$280K base + equity
Are you ready to lead the design and build of a world-class data platform from the ground up?
A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the build-out of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you.
As the most senior technical IC on the Data Platform team, you’ll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake.
Why this role?
- Join a growing Data Platform team
- Own the technical vision and architecture end-to-end
- Tackle petabyte-scale data challenges and real-time streaming use cases
- Work with a cutting-edge tech stack (Kafka, Iceberg, ClickHouse, Snowflake, etc.)
- Drive platform evolution to support AI/ML and company-wide analytics
What You’ll Do
- Design and build a next-gen data platform to power product and internal use cases
- Architect for batch + streaming, scalability, fault tolerance, and low latency
- Lead data modeling, warehousing, governance, and ingestion best practices
- Champion engineering excellence and mentor senior engineers
- Align technical decisions with long-term business strategy
- Optimize for performance, cost, and resiliency in a modern cloud environment
What We’re Looking For
- 8+ years of experience in data engineering or platform architecture
- 5+ years at the Principal Engineer level or equivalent
- Deep expertise with Kafka (and its ecosystem), streaming data systems
- Strong experience with ClickHouse, Iceberg, Snowflake, or similar tools
- Cloud-native architecture expertise (AWS, GCP, or Azure)
- Track record of designing data systems for compliance and governance
- Experience scaling systems to support petabyte-level workloads
- Excellent communication, collaboration, and leadership skills
- Bonus: Experience enabling AI/ML platforms or preparing for IPO-scale growth
To Apply for this Job Click Here
Senior Reliability Engineer
Rotterdam
€50000 - €950000
+ Data Engineering
PermanentRotterdam, South Holland
To Apply for this Job Click Here
Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits
This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.
The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.
The Role
- Design, build, and maintain reliable, scalable cloud infrastructure.
- Improve platform availability, performance, and operational resilience.
- Develop and enhance monitoring, alerting, and observability capabilities.
- Automate infrastructure management and operational processes.
- Support the operation and reliability of AI and machine learning platforms.
- Collaborate with engineering teams to improve deployment, testing, and release processes.
- Drive incident response, root cause analysis, and continuous service improvements.
- Contribute to platform security, compliance, and best practice engineering standards.
Your Skills & Experience
- Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
- Expertise with cloud platforms – Google Cloud.
- Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
- Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
- Hands-on experience with monitoring, logging, and observability solutions.
- Strong understanding of CI/CD pipelines and automation practices.
- Experience supporting production environments with high availability requirements.
- Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
- Excellent problem-solving, communication, and stakeholder engagement skills.
What They Offer
- Competitive salary package.
- Performance-related incentives and comprehensive benefits.
- Hybrid working and flexibility to support work-life balance.
- Exposure to modern cloud technologies and AI platforms.
- Career progression opportunities within a growing technology function.
- A collaborative environment focused on learning, innovation, and continuous improvement.
How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Lead AI Engineer
London
£95000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer
£95,000 – £115,000
King’s Cross, London (1-2 days a week in office)
This is an opportunity to lead the design, architecture, and delivery of production-grade AI systems that create measurable business impact. You will work on high-value initiatives, building scalable AI solutions that are embedded directly into core business processes rather than standalone prototypes.
THE COMPANY
They are a well-established organisation investing heavily in AI innovation to transform business operations and deliver long-term value. Their focus is on deploying practical, scalable AI solutions that support real workflows and business outcomes. You will join a technology-driven environment where engineering excellence, collaboration, and innovation are highly valued.
THE ROLE
As a Lead AI Engineer, you will
Specifically, you can expect to be involved in the following:
- Own the technical direction, architecture, and implementation of AI systems end-to-end.
- Design and build LLM-powered and agent-based solutions from concept through to production.
- Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives.
- Make key decisions on models, tooling, infrastructure, and system design.
- Ensure AI systems are robust, observable, secure, and production-ready through effective evaluation, monitoring, and guardrails.
- Provide technical leadership and guidance to engineers working on AI projects.
SKILLS AND EXPERIENCE
The successful Lead AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems from design through deployment.
- Deep expertise in Generative AI, Large Language Models (LLMs), orchestration, prompting, and evaluation.
- Experience building agentic or multi-step AI systems.
- Excellent software engineering fundamentals across APIs, system design, and cloud-based architecture.
- Ability to define technical direction and operate effectively in complex or evolving environments.
- Experience influencing engineering standards and best practices across multiple projects.
- Exposure to AI platforms, reusable frameworks, LLMOps/MLOps, or enterprise AI environments would be beneficial.
BENEFITS
The successful Lead AI Engineer will receive the following benefits:
- Salary between £95,000 – £115,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Senior AI Engineer
London
£75000 - £95000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior AI Engineer
£75,000 – £95,000
King’s Cross, London (1-2 days a week in office)
This is an exciting opportunity for a Senior AI Engineer to play a key role in shaping how AI is embedded across a business. Rather than building standalone proofs of concept, you will develop production-grade AI solutions that directly support core business processes, delivering measurable value at scale.
THE COMPANY
They are a well-established organisation investing heavily in AI and advanced technology. With a focus on innovation, they are building scalable solutions that enhance operational efficiency and customer outcomes. Their environment combines strong engineering practices with the opportunity to work on high-impact AI initiatives. You will join a collaborative team where technical expertise and continuous improvement are highly valued.
THE ROLE
As a Senior AI Engineer, you will design and deliver production-ready AI solutions using LLMs and agentic systems, embedding AI into core business processes to drive measurable impact.
Specifically, you can expect to be involved in the following:
- Design and implement end-to-end AI systems that deliver business impact.
- Build and deploy LLM-powered and agent-based solutions from concept through to production.
- Contribute to technical architecture and engineering best practices.
- Develop reusable components, frameworks, and patterns across multiple AI use cases.
- Make informed decisions on models, tooling, infrastructure, and system design.
- Ensure AI solutions are scalable, observable, secure, and production-ready.
- Support evaluation, monitoring, and governance processes for deployed AI systems.
- Provide technical guidance and mentorship to engineers contributing to AI projects.
SKILLS AND EXPERIENCE
The successful Senior AI Engineer will have the following skills and experience:
- Strong commercial experience delivering production-grade AI systems.
- Expertise in generative AI, large language models, prompting, orchestration, and evaluation.
- Experience designing and implementing complex AI solutions across multiple domains.
- Knowledge of agentic AI systems and multi-step workflows.
- Strong software engineering fundamentals, including APIs, system design, and cloud-native architectures.
- Ability to solve problems in evolving and ambiguous environments.
- Experience influencing engineering standards and contributing to technical excellence.
- Exposure to AI platforms, reusable frameworks, LLMOps, or MLOps is advantageous.
- Experience working within enterprise or regulated environments would be beneficial.
BENEFITS
The successful Senior AI Engineer will receive the following benefits:
- Salary between £75,000 – £95,000 – depending on experience
HOW TO APPLY
Please register your interest by sending your resume to Majid Latif via the Apply link on this page.
To Apply for this Job Click Here
Lead AI Engineer
London
£105000 - £115000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Lead AI Engineer
London (Hybrid) | Up to £110,000 + 15% Bonus + Excellent Benefits
This is an opportunity to join a business investing heavily in AI and automation, where you will play a key role in shaping and delivering production-grade Generative AI solutions at scale. Working across high-impact initiatives, you will have the autonomy to influence technical strategy, own solution delivery, and drive measurable business outcomes.
The Company
They are a well-established, technology-driven organisation undergoing significant AI transformation. With strong executive sponsorship and a growing pipeline of AI initiatives, they are embedding AI into critical business processes to improve customer experience, operational efficiency, and decision-making.
You will join a newly established AI function within a wider engineering and MLOps environment, working alongside experienced engineers to deliver innovative, enterprise-scale AI products. The team operates in a fast-paced, collaborative setting where technical expertise and commercial impact are highly valued.
The Role
As a Lead AI Engineer, you will take ownership of the design, architecture, and delivery of AI solutions from concept through to production.
Responsibilities include:
* Leading the end-to-end delivery of Generative AI and agentic AI solutions
* Designing and building LLM-powered applications and intelligent automation tools
* Making key architecture, tooling, and platform decisions across multiple initiatives
* Evaluating build versus buy approaches and recommending scalable solutions
* Establishing engineering standards, reusable frameworks, and best practices
* Ensuring AI systems are production-ready through monitoring, evaluation, governance, and observability
* Working closely with engineering, security, data protection, and business stakeholders
* Providing technical leadership and mentoring across AI workstreams
* Driving AI initiatives that deliver measurable operational and commercial value
Your Skills & Experience
You will demonstrate strong commercial experience in:
* Delivering Generative AI solutions into production environments
* Leading AI projects end-to-end, from discovery through deployment
* Designing scalable AI architectures within enterprise environments
* Building LLM-powered applications, RAG solutions, and agent-based systems
* Software engineering fundamentals, including APIs, distributed systems, and cloud platforms
* Technical decision-making in fast-moving or ambiguous problem spaces
* Working within governance, security, and compliance frameworks
* Influencing stakeholders and communicating complex technical concepts clearly
Desirable experience includes:
* AWS cloud technologies
* MLOps or LLMOps practices
* Financial services or other regulated industries
* Building reusable AI platforms, frameworks, or internal products
What They Offer
* Salary up to £110,000
* 15% annual bonus
* Hybrid working with flexibility and a strong focus on outcomes
* Generous pension contribution
* Private medical cover
* Enhanced parental leave policies
* Holiday purchase scheme
* The opportunity to influence AI strategy across a growing function
* Exposure to a broad range of cutting-edge Generative AI use cases
* High visibility and genuine ownership of business-critical AI initiatives
How to Apply
If you are an experienced Lead AI Engineer with a proven track record of delivering production-grade Generative AI solutions, apply today to discuss this opportunity in more detail.
To Apply for this Job Click Here
Generative AI Support Specialist
New York
$60 - $75
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Generative AI Support Specialist
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a well-established organization within the financial intelligence and analytics sector. They are investing heavily in enterprise AI capabilities and are seeking a Generative AI Support Specialist to help scale adoption, enhance user enablement, and maximize the value of generative AI technologies across the business.
- Role: Generative AI Support Specialist
- Location: New York (Hybrid, 3 days onsite)
- Pay: $60-75 per hour
- Length: 3-6 months
- Utilization: 40 hrs/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401k benefits.
As a Generative AI Support Specialist, you will serve as the organization’s subject matter expert for enterprise AI platforms, supporting business users, administering AI environments, and helping design practical AI-enabled solutions. You will work closely with stakeholders across the business to drive adoption, improve workflows, and ensure effective governance and operational excellence.
Key Responsibilities:
- Serve as the primary expert for enterprise generative AI platforms, including ChatGPT Enterprise and Claude.
- Investigate, troubleshoot, and resolve complex AI-related support requests.
- Administer enterprise AI environments, including user provisioning, permissions, analytics, and governance controls.
- Coach users on effective prompting techniques, AI best practices, and responsible AI usage.
- Partner with business teams to identify opportunities for AI-enabled process improvements and workflow optimization.
- Develop documentation, implementation guides, knowledge articles, and solution recommendations.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, Machine Learning, Analytics, Engineering, or a related technical field.
- Strong hands-on experience with ChatGPT, Claude, or enterprise generative AI platforms.
- Demonstrated expertise in prompt engineering and advanced AI workflow design.
- Strong troubleshooting and technical problem-solving skills.
- Ability to work directly with business users and translate business requirements into AI-enabled solutions.
- Excellent written and verbal communication skills with the ability to manage multiple priorities effectively.
- Experience with Python, APIs, automation tools, integrations, agentic AI systems, multi-agent workflows, or Retrieval-Augmented Generation (RAG) is advantageous.
- Familiarity with enterprise AI governance and responsible AI practices.
This is an excellent opportunity for a technically strong AI professional to work at the forefront of enterprise generative AI adoption, helping shape how AI is used across a leading financial intelligence and analytics organization while delivering tangible business impact.
To Apply for this Job Click Here
Generative AI Support Specialist
New York
$70 - $75
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Generative AI Support Specialist
New York City, NY | 3 days onsite
This is a unique opportunity to join an enterprise organization at a pivotal stage in its AI journey. As Generative AI Support Specialist, you will act as the technical expert for enterprise AI platforms, helping users unlock value from advanced AI capabilities while supporting the evolution from chatbot usage to sophisticated multi-agent workflows, automation, and business integrations.
The Company
They are a well-established organization investing heavily in Generative AI adoption across the business. With a growing user base and increasing demand for advanced AI capabilities, they are looking for a technically strong specialist to support users, drive best practices, and help shape the future of AI-enabled ways of working. You will work closely with both technical and business stakeholders to maximize the impact of enterprise AI tools.
The Role and Deliverables
- Serve as the primary escalation point for complex ChatGPT and AI platform support requests.
- Coach users on prompt engineering, model selection, AI workflows, custom GPTs, integrations, connectors, and emerging AI capabilities.
- Administer and support the enterprise AI environment, including workspace configuration, user management, analytics, and troubleshooting.
- Partner with business teams to understand requirements and recommend practical AI-enabled solutions.
- Develop playbooks, documentation, adoption materials, feature guides, and governance-related content.
- Analyse recurring issues, identify improvement opportunities, and help drive greater AI adoption across the organization.
Your Skills & Experience
- Strong hands-on experience with Generative AI platforms such as ChatGPT Enterprise or Claude.
- Demonstrated capability in prompt engineering and designing advanced AI workflows.
- Technical foundation in Data Science, Machine Learning, Analytics, or a related discipline.
- Comfortable working with Python, Markdown, APIs, automation tools, or technical integrations.
- Strong troubleshooting and problem-solving skills with a methodical approach to diagnosing issues.
- Ability to translate business challenges into practical AI solutions.
- Excellent communication and stakeholder management skills, with a customer-focused mindset.
- Comfortable working independently, managing multiple priorities, and operating in a fast-moving environment.
- Experience supporting enterprise SaaS platforms or AI products is highly beneficial.
- Familiarity with emerging areas such as AI agents, workflow orchestration, and enterprise AI governance is advantageous.
To Apply for this Job Click Here
Gen AI Support Specialist
New York
$60 - $70
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Generative AI Support Specialist
New York City, NY | 3 days onsite
This is a unique opportunity to join an enterprise organization at a pivotal stage in its AI journey. As Generative AI Support Specialist, you will act as the technical expert for enterprise AI platforms, helping users unlock value from advanced AI capabilities while supporting the evolution from chatbot usage to sophisticated multi-agent workflows, automation, and business integrations.
The Company
They are a well-established organization investing heavily in Generative AI adoption across the business. With a growing user base and increasing demand for advanced AI capabilities, they are looking for a technically strong specialist to support users, drive best practices, and help shape the future of AI-enabled ways of working. You will work closely with both technical and business stakeholders to maximize the impact of enterprise AI tools.
The Role and Deliverables
- Serve as the primary escalation point for complex ChatGPT and AI platform support requests.
- Coach users on prompt engineering, model selection, AI workflows, custom GPTs, integrations, connectors, and emerging AI capabilities.
- Administer and support the enterprise AI environment, including workspace configuration, user management, analytics, and troubleshooting.
- Partner with business teams to understand requirements and recommend practical AI-enabled solutions.
- Develop playbooks, documentation, adoption materials, feature guides, and governance-related content.
- Analyse recurring issues, identify improvement opportunities, and help drive greater AI adoption across the organization.
Your Skills & Experience
- Strong hands-on experience with Generative AI platforms such as ChatGPT Enterprise or Claude.
- Demonstrated capability in prompt engineering and designing advanced AI workflows.
- Technical foundation in Data Science, Machine Learning, Analytics, or a related discipline.
- Comfortable working with Python, Markdown, APIs, automation tools, or technical integrations.
- Strong troubleshooting and problem-solving skills with a methodical approach to diagnosing issues.
- Ability to translate business challenges into practical AI solutions.
- Excellent communication and stakeholder management skills, with a customer-focused mindset.
- Comfortable working independently, managing multiple priorities, and operating in a fast-moving environment.
- Experience supporting enterprise SaaS platforms or AI products is highly beneficial.
- Familiarity with emerging areas such as AI agents, workflow orchestration, and enterprise AI governance is advantageous.
How to Apply
If you are a technically strong AI practitioner who enjoys solving complex problems, enabling users, and driving AI adoption across a business, please apply with your latest CV.
To Apply for this Job Click Here
Senior Reliability Engineer
Rotterdam
€80000 - €81000
+ Data Engineering
PermanentRotterdam, South Holland
To Apply for this Job Click Here
Senior Site Reliability Engineer (SRE & AI Platform Operations)
Location: Netherlands (Hybrid) | Salary: Competitive + Benefits
This is an exciting opportunity for a Senior Site Reliability Engineer to play a key role in the reliability, scalability, and performance of a growing AI-enabled platform. You will work at the intersection of infrastructure, automation, and AI operations, helping to build resilient systems that support innovative products and services at scale.
The Company
They are a technology-led organisation focused on delivering high-quality digital experiences to a global customer base. With a strong emphasis on innovation, automation, and operational excellence, they continue to invest in modern cloud infrastructure and AI-driven capabilities. Their collaborative environment encourages knowledge sharing, continuous improvement, and technical ownership. This role offers the chance to influence platform reliability while supporting the adoption of emerging technologies.
The Role
- Design, build, and maintain reliable, scalable cloud infrastructure.
- Improve platform availability, performance, and operational resilience.
- Develop and enhance monitoring, alerting, and observability capabilities.
- Automate infrastructure management and operational processes.
- Support the operation and reliability of AI and machine learning platforms.
- Collaborate with engineering teams to improve deployment, testing, and release processes.
- Drive incident response, root cause analysis, and continuous service improvements.
- Contribute to platform security, compliance, and best practice engineering standards.
Your Skills & Experience
- Strong commercial experience in Site Reliability Engineering, Platform Engineering, or DevOps.
- Expertise with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong knowledge of Infrastructure as Code tools, including Terraform or similar technologies.
- Experience with containerisation and orchestration technologies such as Docker and Kubernetes.
- Hands-on experience with monitoring, logging, and observability solutions.
- Strong understanding of CI/CD pipelines and automation practices.
- Experience supporting production environments with high availability requirements.
- Knowledge of AI, machine learning infrastructure, or AI platform operations would be highly beneficial.
- Excellent problem-solving, communication, and stakeholder engagement skills.
What They Offer
- Competitive salary package.
- Performance-related incentives and comprehensive benefits.
- Hybrid working and flexibility to support work-life balance.
- Exposure to modern cloud technologies and AI platforms.
- Career progression opportunities within a growing technology function.
- A collaborative environment focused on learning, innovation, and continuous improvement.
How to Apply
If you are an experienced Senior Site Reliability Engineer with a passion for cloud infrastructure, automation, and AI platform operations, apply today to learn more about this opportunity.
To Apply for this Job Click Here
Data and Insight Analyst
London
£45000 - £50000
+ Digital Analytics
PermanentLondon
To Apply for this Job Click Here
Data & Insights Analyst
London (Hybrid, 3 days per week) | £45,000 – £50,000 + Benefits
Looking to work with one of the most interesting consumer datasets in the market? This is an opportunity to join an innovative analytics business that sits at the intersection of consumer behaviour, marketing effectiveness, data science and AI. You’ll have the chance to work with complex, multi-channel behavioural data and help global brands understand what truly influences customer decisions.
The Company
This specialist data and insights business helps brands measure how advertising and digital experiences impact real-world consumer behaviour. They have built a unique consented consumer dataset that combines media exposure, digital activity, search behaviour, shopping journeys and emerging AI interactions to create a comprehensive view of the customer journey.
Operating as a highly collaborative and entrepreneurial team, they offer significant ownership, direct exposure to senior leadership and the opportunity to influence new products and analytical methodologies.
The Role
As a Data & Insights Analyst, you will work across campaign effectiveness, customer behaviour analysis and emerging AI-focused products.
Key responsibilities include:
- Querying and extracting data using SQL
- Analysing large-scale behavioural datasets to identify trends and commercial insights
- Measuring advertising effectiveness and campaign uplift
- Delivering post-campaign analysis and client-ready insights
- Creating clear, compelling presentations and reports for stakeholders
- Developing and testing new analytical methodologies
- Exploring consumer behaviour across digital, retail and AI touchpoints
- Working with qualitative and quantitative datasets, including LLM-generated data
- Supporting the development of innovative products focused on consumer interactions with AI platforms
- Collaborating closely with data, research and commercial stakeholders across the business
Your Skills & Experience
- Strong SQL skills
- Advanced Excel capabilities
- Experience analysing complex datasets and translating findings into actionable insights
- Ability to communicate analytical outputs to non-technical stakeholders
- Commercially minded with strong problem-solving skills
- Comfortable working independently and taking ownership of projects
- Strong academic background
- Experience with data visualisation tools is beneficial
- Exposure to marketing analytics, customer insights, media analytics or consumer behaviour data is advantageous
- Familiarity with LLM tools such as ChatGPT and prompt-based analysis is desirable
What They Offer
- Salary of £45,000 – £50,000 depending on experience
- Hybrid working model with 3 days per week in the London office
- Direct access to senior leadership and decision makers
- Opportunity to work with highly unique behavioural and AI datasets
- Significant ownership and autonomy from day one
- Exposure to innovative analytics and AI-focused product development
- Clear opportunity to influence methodologies, products and business growth within a fast-moving environment
How to Apply
If you’re a curious and commercially minded Data & Insights Analyst with strong SQL skills and a passion for uncovering meaningful insights from complex data, please apply today to learn more about this opportunity.
To Apply for this Job Click Here
Senior Data Scientist
London
£70000 - £80000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
£70,000-£80,000 + £5,000 Car Allowance + Bonus
London(Hybrid – 2x Days a Week in Office)
If you enjoy solving complex modelling problems, building innovative machine learning solutions, and working with alternative data to challenge traditional pricing strategies, this is an opportunity to join one of the UK’s strongest data science functions!
The Company
This leading UK financial services business has built one of the most mature data science capabilities in the industry, using advanced analytics and machine learning to drive commercial decision-making across millions of customers; with significant investment in technology, data and AI, the business continues to grow rapidly and is looking to expand its Alternative Pricing Product team with a Senior Data Scientist. You’ll join a highly collaborative environment where experimentation is encouraged and innovative modelling techniques are actively deployed into production!
The Role
Reporting into the Head of Pricing, you’ll join a specialist team responsible for developing next-generation pricing models that challenge conventional approaches. Working across large and complex datasets, you’ll build predictive machine learning models using alternative data sources to improve customer pricing and risk selection.
Projects include:
- Building innovative predictive machine learning models
- Developing pricing and customer selection models
- Exploring alternative data sources to improve pricing accuracy
- Geospatial and footprint modelling
- Residual and claims modelling
- Working with messy, high-volume datasets to uncover commercial insights
- Deploying models using Azure Machine Learning
- Mentoring junior team members and helping shape best practice across the team
This is an opportunity to influence products that impact millions of customers whilst working on genuinely novel modelling challenges.
Your Skills & Experience
- Experience building machine learning models
- Strong Python skills
- Experience developing predictive models within commercial environments
- Experience working with large, complex datasets
- Experience with cloud-based ML platforms (Azure ML preferred)
- The ability to communicate technical findings to non-technical stakeholders
- Experience mentoring or supporting more junior data scientists is advantageous
Experience within insurance or financial services would be beneficial, although candidates from other highly analytical industries are also encouraged to apply.
The Benefits
- £70,000-£80,000 salary
- £5,000 annual car allowance
- Bonus
How to Apply
To register your interest in this opportunity, please send your CV via the application link
To Apply for this Job Click Here
Senior MLOps Engineer
New York
$160000 - $180000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior MLOps Engineer
New York, New York – 5 days onsite
$160,000 – $180,000 + bonus
THE COMPANY
Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.
RESPONSIBILITIES
- You will be responsible for machine learning model deployment and scalability for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
SKILLS AND EXPERIENCE
- 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Fluency with low-latency distributed systems is preferred
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform
- Container experience with Kubernetes, Docker or similar
- History of working on models from concept to production / end-to-end / 0-1
- Software engineering foundation: debugging, testing, maintainable code design
- Domain experience in fintech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar
BENEFITS
The compensation package contains a base salary, bonus and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
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A trusted partner of professionals across the globe.
We understand the challenges our customers face and offer the
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Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
Candidate /
Senior Data Engineer
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
