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.
Senior NLP Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior NLP Engineer
New York, New York
$180,000-200,000 base salary + bonus + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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
YOUR SKILLS AND EXPERIENCE
The successful Senior NLP Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or accounting a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $180,000-200,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
To Apply for this Job Click Here
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
Director of Data Engineering
New York
$300000 - $350000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Director of Data Engineering
Location: San Francisco or New York (Hybrid)
Compensation: $300-350K base + Equity
A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.
What You’ll Lead:
- Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
- Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
- Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
- Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
- Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.
What We’re Looking For
- 10+ years in data engineering, with 5+ years of engineering leadership
- Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
- Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
- Proven success supporting ML/AI platforms and structured/unstructured data needs
- Strong track record of partnering with legal and compliance to build IPO-ready systems
- A collaborative, technical leader who thrives in fast-paced, high-impact settings
Why This Role
- Lead the data engineering charter at one of the most innovative companies in enterprise AI
- Own systems that power product analytics, experimentation, personalization, and LLM workloads
- Work side-by-side with the C-suite and play a pivotal role in company-scale transformation
To Apply for this Job Click Here
Director of Data Engineering
San Francisco
$300000 - $350000
+ Data Engineering
PermanentSan Francisco, California
To Apply for this Job Click Here
Director of Data Engineering
Location: San Francisco or New York (Hybrid)
Compensation: $300-350K base + Equity
A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.
What You’ll Lead:
- Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
- Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
- Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
- Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
- Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.
What We’re Looking For
- 10+ years in data engineering, with 5+ years of engineering leadership
- Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
- Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
- Proven success supporting ML/AI platforms and structured/unstructured data needs
- Strong track record of partnering with legal and compliance to build IPO-ready systems
- A collaborative, technical leader who thrives in fast-paced, high-impact settings
Why This Role
- Lead the data engineering charter at one of the most innovative companies in enterprise AI
- Own systems that power product analytics, experimentation, personalization, and LLM workloads
- Work side-by-side with the C-suite and play a pivotal role in company-scale transformation
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York
$190000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer
New York, New York
$190,000-210,000 base salary + bonus + benefits
Harnham is partnered with a well-known financial services company that is disrupting a key area of financial services. They are building out a proprietary LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level ML Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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
YOUR SKILLS AND EXPERIENCE
The successful Senior Machine Learning Engineer will likely have the following skills and experience:
- 3-5 years of commercial experience (depending on education level) preferred with a focus on building and deploying natural language and LLM models
- Experience working in a fast-moving organization is preferred
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or private equity a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- PhD or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $190,000-210,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Fortune 500 | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
To Apply for this Job Click Here
Lead Software Engineer
Plano,Texas
$150000 - $200000
+ Data Engineering
PermanentPlano, Texas
To Apply for this Job Click Here
Lead Backend Engineer – Innovation Labs
$150-200,000 plus bonus and equity
Location: Hybrid (2 days onsite) – Plano, TX | Twin Cities, MN | New York, NY
Employment Type: Full-time
Benefits: Health, Dental, Vision, Vacation Leave, Parental Leave
About Us:
We are a legal tech company driving innovation at the intersection of law and technology. Within our Innovation Labs, we are building cutting-edge AI-powered solutions to transform how legal professionals work, leveraging enterprise integrations, scalable backend systems, and modern AI platforms.
The Role:
We are seeking a Lead Backend Engineer to join our Innovation Labs team. This is a player-coach role: you’ll be hands-on in backend engineering while providing technical leadership to a team of ~5 engineers. You will play a critical role in designing and developing enterprise integrations, building our AI platform, and orchestrating real-time interactions powered by large language models (LLMs).
What You’ll Do
- Lead and mentor a team of backend engineers, driving technical excellence and growth.
- Design, build, and optimize backend systems using Python, FastAPI, AWS, and PostgreSQL/pgvector.
- Architect and develop enterprise-grade integrations and scalable APIs for real-time interactions.
- Work on AI platform development, orchestration, and deployment leveraging LLMs (Anthropic, OpenAI, etc.).
- Drive 0→1 product development, turning AI concepts into production-ready enterprise solutions.
- Collaborate closely with product, data, and innovation teams to align engineering with business outcomes.
- Establish and maintain best practices for backend development, system design, and deployment.
What We’re Looking For:
- 5+ years of commercial experience in backend software engineering (excluding educational experience).
- Proven experience as a technical leader or manager in a player-coach capacity.
- Strong hands-on expertise with:
- Python & FastAPI
- PostgreSQL & pgvector (or other vector databases)
- AWS cloud services (deployment, orchestration, scaling)
- LLMs (Anthropic, OpenAI, etc.)
- Experience with API design and real-time system interactions.
- Strong track record in 0→1 AI product development, ideally in a startup or innovation-driven environment.
- Excellent communication skills and ability to collaborate across technical and non-technical teams.
Why Join Us:
- Opportunity to shape the future of AI-driven legal technology in a high-impact, innovation-focused environment.
- Lead and grow a talented engineering team while staying hands-on with cutting-edge backend and AI technologies.
- Work in a hybrid setup with offices in Plano, TX | Twin Cities, MN | NYC.
- Competitive compensation package with full benefits (health, dental, vision, vacation leave, parental leave).
To Apply for this Job Click Here
Lead MLOps Software Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Lead MLOps Software Engineer
New York, New York
$200,000-220,000 base salary + equity + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a tech-lead MLOps Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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
YOUR SKILLS AND EXPERIENCE
The successful Lead MLOps Software Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- DevOps experience with CI/CD pipelines required
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or accounting a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $200,000-220,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | MLOps | LLMOps | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment
To Apply for this Job Click Here
Backend Software Engineer – AI/ML
London
£700 - £800
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Backend Software Engineer – AI/ML
6-month contract | Inside IR35 | Up to £800 per day | 2-3 days per week in London
We’re supporting a global R&D organisation in the build-out of its AI and ML engineering platforms. The team is responsible for productionising and scaling ML models that power drug discovery and predictive research.
They’re seeking a Backend Software Engineer to lead development of APIs and data infrastructure supporting these ML applications.
What you’ll be doing:
-
Develop backend systems for ML-driven applications using Python (FastAPI)
-
Build data and compute integration pipelines with cross-functional AI teams
-
Design testing and deployment frameworks for model reliability
-
Work collaboratively in agile sprints alongside data and DevOps teams
Key Skills:
Python, FastAPI, Git/GitHub, CI/CD, cloud infrastructure (GCP), automated testing (pytest)
Nice to Have:
Experience with ML model deployment or scientific data systems
Ideal for:
Engineers who thrive building robust, production-ready backends for AI/ML platforms.
To Apply for this Job Click Here
Staff Machine Learning Engineer
$190000 - $225000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Staff Machine Learning Engineer
Full Remote – US Based
$190,000 – $225,000 Base + Equity
Fin-Tech Industry
About the Role
Join a growing fintech platform powering the next generation of financial products. This role is ideal for hands-on, end-to-end MLE’s who thrive at the intersection of R&D and production. The team values ownership, autonomy, and a pragmatic, research-driven approach.
Key Responsibilities
- Design, build, and deploy end-to-end machine learning systems from research through to production at scale.
- Take a lead role pushing state-of-the-art research and models into robust production pipelines.
- Drive and own fine-tuning of large models, especially LLMs, and develop solid inference frameworks (such as vLLM).
- Architect and optimize Retrieval-Augmented Generation (RAG) workflows, including reranking, hybrid search, and knowledge graph integration.
- Create and iterate on agentic workflows to make ML products more adaptive and autonomous.
- Apply strong Reinforcement Learning (e.g., PPO, DPO, GRPO) to real-world fintech use cases.
- Write and maintain high-quality, production-ready Python code (no specific libraries required, flexibility valued).
Requirements
- Proven track record with end-to-end ML systems in production settings.
- Expert-level experience conducting and operationalizing advanced model fine-tuning and LLMs.
- Deep expertise in RAG systems design, search/retrieval, and graph-based architectures.
- Applied knowledge of Reinforcement Learning techniques (PPO, DPO, GRPO).
- Hands-on experience building agentic or workflow-based ML platforms.
- Strong proficiency in Python
- Experience with LLMs, neural networks, and inference frameworks; vLLM desirable.
- Background in startups or fintech preferred.
- Excellent communication, low-ego, and proactive ownership in team settings.
To Apply for this Job Click Here
Head of Data Platform (Hands-on + GCP)
London
£100000 - £110000
+ Data Engineering
PermanentLondon
To Apply for this Job Click Here
Head of Data Platform
Hybrid – South London
Up to £110,000 + Bonus + Benefits
Are you a data leader ready to shape the future of a modern cloud data platform? We’re seeking a Head of Data Platform to spearhead a major migration project and lead a talented data engineering team at a fast-growing, tech-driven business.
Why this role?
-
Lead the migration of an existing Azure data warehouse to Google BigQuery, creating a scalable, modern platform to power analytics, BI, and data science.
-
Join a collaborative, people-first culture that’s been recognised as a Great Place to Work for 5+ years running.
-
Take ownership of strategy, architecture, and delivery – with the freedom to innovate and drive change.
-
Hybrid working model: South London office 1-3 days per week, balanced with flexibility to work from home.
What you’ll be doing:
-
Own the end-to-end migration to BigQuery, working with both internal teams and implementation partners.
-
Define and evolve the data platform strategy, governance, and roadmap.
-
Manage and mentor a team of data engineers, fostering excellence and collaboration.
-
Drive adoption of modern data engineering practices: CI/CD for data pipelines, DevOps/DataOps, Infrastructure-as-Code.
-
Partner with stakeholders across pricing, analytics, operations, finance, and product to deliver real business value.
-
Stay ahead of industry trends, ensuring the platform remains innovative, secure, and robust.
What we’re looking for:
-
5+ years’ experience in data engineering, warehousing, or platform leadership.
-
Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred).
-
Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform, and modern data architecture.
-
Strong leadership and stakeholder management skills.
-
Experience driving complex data projects in agile, cross-functional teams.
✨ Nice-to-haves:
-
Background in insurance or other regulated industries.
-
Knowledge of GDPR, data privacy, and security practices.
-
Familiarity with BI tools (e.g. Looker, Power BI) or ML/AI platforms.
Package & Perks:
-
Salary up to £110,000 + annual bonus.
-
Hybrid working (South London office 1-3 days per week).
-
25 days holiday + bank holidays (with ability to buy/sell).
-
Private medical cover, life insurance, pension scheme.
-
Wellbeing programme, retail discounts, charitable giving scheme.
-
Ongoing learning & development opportunities.
To Apply for this Job Click Here
Senior NLP Software Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior NLP Software Engineer
New York, New York
$200,000-220,000 base salary + equity + benefits
Harnham is partnered with a fintech startup that is disrupting a key area of financial services. They are building out an LLM platform that will revolutionize how certain financial tasks are carried out in the cloud. This will be a senior-level NLP Engineer in the business and lead all LLM projects from end-to-end.
THE ROLE
- You will be responsible for end-to-end machine learning model development and deployment for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own development of new PoCs and quickly build into production, particularly focusing on novel NLP and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning infrastructure
- 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
YOUR SKILLS AND EXPERIENCE
The successful Senior NLP Software Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying natural language and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel NLP and LLM AI platforms with large datasets
- Cloud experience in AWS, Azure or GCP preferred
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in financial services, investment or accounting a plus
- History of partnering with non-technical stakeholders required
- Experience as a player/coach or manager for AI teams preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $200,000-220,000 + benefits + equity
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | AI | Artificial Intelligence | Technology | Fintech | Financial Services | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | NLP | NLU | NLG | Natural Language Processing | Infrastructure | Architecture
To Apply for this Job Click Here
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News & Blog
With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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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
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.
Client /
Data Direction – Broadcast Media
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
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
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
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
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.
