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
Product Manager (Internal Process Automation) – 6 month FTC
London
£60000 - £70000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Product Manager (Internal Process Automation) – 6-month FTC
London – hybrid 2-3x a week
Up to £70,000
This role offers the chance to make a direct, measurable impact by automating and optimising how a fast-growing WealthTech business operates. You will sit at the centre of scale, helping teams grow without adding headcount and shaping how automation and low code solutions are used across the organisation.
The Company
They are a venture backed WealthTech startup focused on redefining how individuals and families manage their finances. Their app-based platform brings together a client’s full financial picture and combines this with personalised, conflict-free advice. The business is in a strong growth phase following continued investment and is now focused on building scalable internal infrastructure to support that growth.
The Role
- Work closely with a Senior Product Manager focused on AI and Automation to identify and prioritise operational inefficiencies.
- Embed with teams across business development, marketing, talent, operations and other functions to understand manual processes and scaling challenges.
- Design and build automated workflows using low code, no code and AI enabled tools where appropriate.
- Own delivery end to end, from discovery and solution design through to build and rollout.
- Measure impact through time saved, reduced operational risk and avoided headcount growth.
- Act as an internal advocate for automation, sharing best practice and raising awareness of what is possible.
Your Skills and Experience
- Hands on experience automating or optimising business processes in a fast paced environment.
- Strong problem solving skills with the ability to design practical, scalable solutions.
- Experience using low code or no code tools and third party automation or AI platforms.
- A product mindset with the confidence to work without a dedicated engineering team.
- Comfortable working in a startup or scale up where priorities move quickly and ownership is high.
What They Offer
- Flexible hybrid working with regular collaboration in the London office.
- The opportunity to move into a permanent role as the business continues to scale.
- High visibility and ownership in a role that directly supports business growth.
How to Apply
If you are motivated by impact, automation and building scalable systems in a growing tech business, please apply to learn more.
To Apply for this Job Click Here
ML Platform Engineer
£550 - £650
+ Data Science & AI
ContractEngland
To Apply for this Job Click Here
MLOps Platform Manager (Databricks)
£550 – £650 Outside IR35
Remote
The Company
They are a large, complex organisation with a strong focus on data-driven decision making and responsible use of analytics and AI. The business operates at enterprise scale, with multiple delivery teams relying on a shared data and ML platform. There is a clear commitment to governance, security, and operational excellence, balanced with enabling innovation. The environment is collaborative, with close alignment between data engineering, data science, platform, security, and governance functions.
The Role and Deliverables
- Own the day-to-day operation of the Databricks platform and associated MLOps services, ensuring reliability, performance, and a strong developer experience.
- Establish and run service management processes including incident, change, and release management for platform services.
- Define and embed standardised MLOps patterns covering model build, deployment, monitoring, and lifecycle governance.
- Lead platform releases and upgrades, including Databricks Runtime changes, with clear testing, communication, and rollback plans.
- Implement robust monitoring and observability for production models, including performance, drift, and data quality.
- Drive improvements in platform cost management, documentation, and operational controls.
Your Skills & Experience
- Strong experience operating Databricks in a production, enterprise environment, including workspace administration, access controls, and platform governance.
- Proven capability in establishing and running MLOps practices across the full model lifecycle in live environments.
- Solid background in platform operations, service management, and incident leadership for critical data services.
- Experience working closely with security, risk, and compliance stakeholders to evidence controls for data and AI platforms.
- Ability to engage and influence data engineering, data science, and senior stakeholders, translating business needs into platform priorities.
- Hands-on understanding of cloud-based data platforms and cost optimisation approaches.
How to Apply
Apply now to discuss this freelance MLOps Platform Manager opportunity and how your Databricks and MLOps expertise can make an immediate impact.
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 – 4 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 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
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform
To Apply for this Job Click Here
Data Science Manager
Canada
$170000 - $220000
+ Data Science & AI
PermanentCanada
To Apply for this Job Click Here
Data Science Manager
Location: Canada | EST Hours Required
Salary: $175-220k base + bonus
We’re partnering with a high-growth product company to hire a Data Science Manager to both ship production ML systems and build a high-performing team.
This is a true player-coach role: you’ll stay hands-on with modeling and system design while setting technical direction, hiring, and mentoring data scientists. The expectation is clear: deliver models that move retention, conversion, and revenue.
You’ll join a small, autonomous data science team with impact across Product, R&D, Finance, and GTM. The team builds customer-facing data products such as recommendation systems, churn models, and experimentation frameworks that influence how millions of users discover value.
It’s startup-level ownership with the scale and data of a large, active user base.
What You’ll Do
- Design and ship recommendation engines, churn models, and experimentation infrastructure, staying hands-on in code as the team scales
- Define success metrics, monitor production models, and iterate until business results improve
- Hire, coach, and develop data scientists; set a high bar for ownership, craft, and impact
- Partner closely with Product, R&D, Finance, and GTM to identify high-leverage problems and deliver adopted solutions
- Make pragmatic decisions around tooling, architecture, and methodology, balancing speed with long-term maintainability
What We’re Looking For
- 6+ years building and deploying consumer-facing ML systems in production
- 2+ years leading or managing data scientists or ML engineers
- Experience building teams, not just operating as an IC
- Strong Python skills
- Experience with Databricks or similar ML platforms
- Comfort across the full ML lifecycle: experimentation, feature engineering, training, deployment, monitoring
- Proven ability to translate ambiguous business problems into measurable ML outcomes
- Strong bias toward shipping, iteration, and impact
- Sound judgment on when to ship an MVP vs. invest in robustness
- Actively uses AI tools to accelerate development and expects the same from their team
Nice to Have
- Experience with experimentation platforms or causal inference
- Background in subscription or SaaS businesses
- Familiarity with TypeScript or production engineering practices
To Apply for this Job Click Here
Principal Data Scientist
London
£100000 - £125000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Principal Data Scientist
London – UK Wide Travel Expected
If you’re a hands-on Data Science / AI specialist who loves solving real operational problems, this role puts you right at the heart of client delivery. You’ll shape the problems, design and build the solutions, and see your models deployed into live environments – not parked as endless POCs.
THE COMPANY
This fast-growing consulting firm helps organisations across the public sector, defence and commercial markets deliver measurable improvements in performance through data, AI and digital solutions. They are building a modern AI & Digital capability that sits at the front of transformation programmes, working shoulder-to-shoulder with clients on their toughest operational challenges.
THE ROLE
As a Lead Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.
- Identifying high-impact Data Science, Machine Learning, AI and simulation opportunities on client engagements
- Scoping and shaping problems, designing experiments and roadmaps, and then building and deploying models end-to-end
- Leading technical workstreams, managing small teams and ensuring projects are delivered on time and to a high standard
- Translating complex technical concepts into clear, compelling narratives for non-technical senior stakeholders
- Coaching and mentoring consultants to build their capabilities in DS/ML/AI and modern analytics
YOUR SKILLS & EXPERIENCE
- Strong background in Data Science, Machine Learning, AI, simulation or advanced analytics, with clear examples of end-to-end delivery
- Proven ability to shape, not just execute: from defining the problem and designing the solution, through to delivery and measurement of impact
- Consulting capability – comfortable running client workshops, identifying opportunities, influencing senior stakeholders and supporting pitches
- Evidence of measurable commercial or operational impact (e.g. revenue growth, cost reduction, efficiency gains, service improvement)
- Hands-on experience building models and turning prototypes into robust, production-ready solutions
- Experience leading teams or technical workstreams in a project environment
- UK citizenship (for security clearance purposes) and willingness to travel across the UK 3 days per week, depending on client needs
Nice-to-have experience:
- Background in a consulting environment or a high-performing in-house DS/AI team
- Exposure to sectors such as defence, public sector and consumer/retail
- Familiarity with modern data and AI tooling such as Python, Spark, Databricks, Azure cloud, and Generative AI platforms (experience with specific tools is helpful but not essential)
- A mix of technical, product and operational experience – comfortable talking both code and business outcome
To Apply for this Job Click Here
Senior Data Scientist – Forward Deployed
$160000 - $175000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. You will have the opportunity to expand and grow data-driven research across our organization, leading new areas to apply advanced analytics to drive strategic business and national security results. As part of our team, you must be an AI expert with a strong command of data science fundamentals and a proven ability to bring data-driven solutions to life within the defense ecosystem.
Scope of Responsibilities
*Develop AI/ML/DS systems to address defense problems.
*Develop new AI-based stack of technologies for particular customer needs.
*Development of evaluation solutions for AI deployments.
*Lead the end-to-end execution of AI projects, ensuring alignment with strategic objectives and timely delivery.
*Work closely with partner teams, including AI research, data engineering, and software development, to deliver robust AI systems.
*Collaborate with the AI leadership to clearly define product and applications scope, translating high-level requirements into actionable technical plans and delivering AI platforms and solutions.
*Drive the development of scalable, AI-based platforms designed to support and power solutions for a diverse range of customers within the defense ecosystem.
*Champion the introduction of new AI innovations. Stay current with the rapidly evolving fields of Artificial Intelligence, Large Language Models (LLMs), and agentic systems, and actively transfer this knowledge and best practices for implementation across the team.
*Create agentic AI systems, using AI orchestrators and particular AI reasoning capabilities as tools.
Qualifications
*U.S. Citizenship is required
*Oversee the full lifecycle of AI projects within our AI ecosystem.
*Understanding of coding AI (such as Claude Code) and experience how to use it to scale up AI team deliveries
*Collaborate with cross-functional teams (AI Research, Data Engineering, Software Development).
*Define robust software architecture for AI systems and project roadmaps.
*Translate high-level AI system requirements into actionable technical plans.
*Deliver production-ready AI solutions integrated with clients data platforms and workflows.
*Drive the implementation of scalable AI/ML platforms.
*Maintain deep expertise in cutting-edge AI, including LLMs and agentic systems. Train models, build systems based on AI innovations
*Demonstrate strong National Security domain knowledge.
Desired Skills
*A strong publication record in the top conferences in one of the AI, ML NLP, decision science areas
*Deep knowledge of LLM and Agentic system evaluation, experience in building evaluation systems
*Experience in LLM posttraining or fine tuning
*Experience with MLOps practices, including deployment, monitoring, and management of large-scale models in cloud environments (e.g., GCP, AWS, Azure).
*Track record of successfully transitioning AI research prototypes into robust, production-grade enterprise solutions
To Apply for this Job Click Here
Senior AI Engineer
new york
$250000 - $300000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior AI Engineer
New York / San Francisco (in person)
Up to 300K base + bonus
I’m working on an exclusive search for a Senior AI Engineer to join a high‑calibre investment organization that is building an internal AI and data science capability from the ground up.This is a hands‑on, senior‑level engineering role with real ownership. You’ll sit close to decision‑makers and design production AI systems that directly influence how investments are sourced, evaluated, and monitored.
The opportunity
- Act as the technical lead for advanced AI and LLM‑driven systems used across investment workflows
- Own architecture and complex builds, including agentic workflows, RAG systems, and evaluation frameworks
- Lead development of high‑impact projects spanning research, diligence, portfolio monitoring, and knowledge management
- Set technical direction, review code, and mentor engineers while remaining fully hands‑on
- Partner closely with non‑technical stakeholders to translate AI capabilities into intuitive, high‑value tools
- Evaluate vendors, platforms, and infrastructure with clear build vs buy recommendations
Background they’re looking for
- 5+ years of software engineering experience, including 2+ years building production AI/ML or LLM‑based systems
- Strong Python fundamentals and experience with cloud infrastructure (AWS) and CI/CD
- Deep understanding of modern LLM patterns: embeddings, vector databases, prompt engineering, RAG, agentic systems, and evaluation
- Experience delivering end‑to‑end AI products, not just prototypes
- Comfortable leading technically in a small, high‑impact team
- Clear communicator who can work effectively with non‑technical partners
- Financial services experience is a plus, but curiosity about investment decision‑making is essential
Why this is compelling
- Rare chance to build AI platforms from scratch inside a decision‑driven environment
- Significant technical ownership and visibility at senior levels
- Small team with high expectations and real influence
- Competitive compensation and strong long‑term upside
To Apply for this Job Click Here
AI Solutions Architect
Dallas
$160000 - $220000
+ Data Science & AI
PermanentDallas, Texas
To Apply for this Job Click Here
Title:
Senior AI Solutions Architect – Agentic AI (Enterprise / Production)
Overview
We are hiring a Senior AI Solutions Architect to design and deploy production-scale, multi-agent AI systems integrated into enterprise workflows.
This is a hands-on role focused on building real systems – not research or proof-of-concepts.
You’ll work on high-impact initiatives across operations, IT, and business functions, delivering AI-driven automation at scale.
What You’ll Do
- Design and build multi-agent AI systems for enterprise use cases
- Deploy production-grade AI solutions using LLMs and orchestration frameworks
- Integrate AI into systems like ERP, CRM, and internal platforms
- Architect end-to-end solutions across cloud, APIs, and data layers
- Collaborate with cross-functional teams to deliver high-impact AI initiatives
- Contribute to best practices around AI architecture, scalability, and governance
What We’re Looking For
- Experience building and deploying AI systems in production environments
- Hands-on experience with:
- Multi-agent systems or orchestration frameworks (LangChain, AutoGen, etc.)
- LLM-based applications
- Strong background in:
- Cloud platforms (Azure, AWS, or GCP)
- API development and system integration
- Ability to move between architecture and hands-on implementation
- Experience working in complex, enterprise environments
Nice to Have
- Experience building reusable AI platforms or frameworks
- Exposure to AI governance, security, or compliance
- Experience leading technical initiatives or mentoring teams
What This Role Is NOT
- Not a research role
- Not limited to proof-of-concepts
- Not purely architecture without hands-on work
Location & Compensation
- Location: Dallas or Houston (relocation support available for strong candidates)
- Compensation: $165K-$220K base + potential sign-on
- Employment Type: Open to full-time or contract-to-hire
Final Note
We are specifically looking for candidates who have deployed AI systems into real-world production environments and can speak in detail about scale, performance, and impact.
To Apply for this Job Click Here
Senior Data Scientist
London
£60000 - £70000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Data Scientist
London Hybrid (2 days x week)
This is an opportunity to join a growing Data and AI business building production grade machine learning and LLM driven products for financial services and trading environments. The role offers exposure to both proprietary software and consultancy led problem solving, with real ownership over models that move into live use rather than staying at proof of concept stage.
The Company
They are a well established Data and AI organisation that has been operating successfully for several years, combining proprietary tooling with consultancy expertise. Their products support data driven decision making across financial services, including advanced analytical assistants and conversational AI solutions. The business is technically led, collaborative, and focused on building high quality, scalable machine learning systems.
The Role
You will work as part of a close knit data science team, contributing to the design, development and deployment of machine learning and LLM based solutions.
Responsibilities include:
- Designing and building machine learning models used by trading and financial services clients.
- Developing NLP and LLM powered chat engines that surface insights and factual answers from complex data.
- Fine tuning deep learning and large language models, including extraction and parameter optimisation.
- Working end to end on models that are taken through to production rather than remaining as prototypes.
- Contributing to products such as data assistance tools, website chatbots and analytical AI platforms.
Your Skills and Experience
- Hands on experience building and deploying machine learning models end to end.
- Experience with LLMs, NLP, conversational AI, RAG pipelines and model fine tuning.
- Understanding of production grade ML workflows and CI CD principles.
- Experience building chatbots or NLP driven chat engines used in live environments.
- Comfortable working independently and taking ownership of complex problems.
What They Offer
- Hybrid working with two days per week in a London office.
- Remote flexibility for candidates based in the North, with office visits around twice per month.
- The chance to work on impactful AI products used in real commercial and trading environments.
- A supportive team structure with senior mentorship and clear technical progression.
How to Apply
If you are a Senior Data Scientist looking to work on production level ML and LLM solutions within financial services, apply now to find out more.
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh
$180000 - $200000
+ Data Science & AI
PermanentPittsburgh, Pennsylvania
To Apply for this Job Click Here
Lead AI Engineer
Pittsburgh, PA – Onsite
$180,000-200,000 base salary + benefits
Harnham is partnered with a cutting-edge government contractor in the Pittsburgh area. They are looking for an AI Engineer with a strong background in building production-grade LLM / natural language platforms. This person will sit in their AI research team and partner across the business.
THE ROLE
- You will build machine learning and LLM platforms to support a brand new client portfolio in various government agencies
- You will report directly into the Head of ML Research and work closely on technical direction
- Own development of new platforms and help advance existing systems
- You will implement and design code and build out to production using various advanced machine learning techniques
- Have the opportunity to work closely with internal and external stakeholders, acting as a thought leader
- Help in mentoring a fast-growing team
YOUR SKILLS AND EXPERIENCE
The successful AI Engineer will likely have the following skills and experience:
- MUST BE a US Citizen – potential for government clearance for future projects
- Experience using Python for machine learning and large language model development
- Commercial experience building novel AI platforms with large datasets preferred
- Familiarity with advanced machine learning approaches a plus, i.e. deep learning
- Prior experience leading projects is a plus
- History of partnering with non-technical stakeholders, ideally in government spaces
- Spark experience a plus; cloud experience in AWS
- PhD/MS in Computer Science, Statistics, Engineering or other STEM field
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 | Data Science | Research | Technology | LLMs | Large Language Models | Artificial Intelligence | Federal | Stakeholder Management | Client Facing | Government | Federal
To Apply for this Job Click Here
AI Strategist
Chicago
$100000 - $120000
+ Data Science & AI
PermanentChicago, Illinois
To Apply for this Job Click Here
AI & Innovation Consultant / Manager
Applied AI, Venture & Enterprise Innovation
United States
Hybrid or Remote
We are working with a venture‑backed innovation firm that partners with enterprise organisations to design, deploy, and scale practical AI solutions across the business.
This role is ideal for someone who sits comfortably between technology, strategy, and business execution, and enjoys translating emerging AI capabilities into real‑world outcomes.
The opportunity
You will work with senior stakeholders to identify AI opportunities, design multi‑touch innovation programmes, and deliver applied AI solutions that improve productivity, decision‑making, and customer experience.
The work is highly client‑facing and strategic, with involvement across planning, experimentation, and rollout.
Key responsibilities
- Design and execute applied AI and innovation strategies aligned to business goals
- Lead workshops and training sessions on AI tools, prompting, and adoption
- Build and deploy AI‑powered agents, copilots, and internal productivity tools
- Evaluate and apply leading AI platforms and models including enterprise and consumer tools
- Partner with clients across multiple functions to deliver measurable outcomes
- Oversee pilots, experimentation, and scaling of AI initiatives
What we’re looking for
- Experience working in AI, innovation, digital transformation, or analytics roles
- Strong understanding of modern AI tools, platforms, and use cases
- Ability to translate complex technology into clear, actionable outcomes
- Confident client‑facing communicator with a strategic mindset
- Background in consulting, venture studios, enterprise innovation, or fast‑growth technology environments is a plus
Why apply
This is an opportunity to work at the cutting edge of applied AI, helping organisations move from experimentation to meaningful adoption, within a collaborative and fast‑moving environment.
To Apply for this Job Click Here
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Industry Hub
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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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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.
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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.
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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 – 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 – 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
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 – 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!
