DETROIT DATA & AI RECRUITMENT
Harnham Recruitment is a leading recruitment agency in Data and AI that covers Detroit, specializing in helping businesses find the right qualified candidates for their Data & AI roles.
Our team of experienced Data and AI Detroit recruiters are experts in their specific data markets, which means they can advise and guide clients to help them make the best hiring decisions possible. By leveraging our extensive network, we ensure access to top-tier talent for a variety of industries, including the automotive sector and advanced technologies. We have offices in multiple countries and work with a wide range of clients across the world, so we're experts in our field.
We have a strong track record of successful placements and have worked with some of the most well-known companies in the world. Our goal is to help you hire professionals who not only bring technical expertise but also understand the nuances of your business processes and operational efficiency. One of the reasons we've been so successful is due to the fact that we provide insights and research on the data industry, so our clients in Detroit have the most up-to-date information on the Data and AI industries. Discover more by getting into contact with our Detroit recruiters today.
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DATA & AI RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & AI skilled professionals we place, Harnham uses tried and tested models in our recruiting process.
By gaining valuable market knowledge across a variety of industries and regions, Harnham is able to provide a service that is second to none within our marketplace.
From the interview process to the onboarding process, we ensure every step aligns with your company culture and client requirements. Our goal is to help you hire professionals who not only bring technical expertise but also understand the nuances of your business processes, operational efficiency, and analytics-driven decision-making.
We specialize in recruiting for AI-driven solutions that focus on cutting-edge AI technologies, including predictive analytics, natural language processing, and generative AI tools. These innovations drive business value, helping organizations improve customer satisfaction, enhance business operations, and streamline strategy development through detailed analytics.
Additionally, we cover traditional data roles such as data science, business intelligence, and AI-powered solutions, ensuring that every candidate we place brings the right experience and skills to support digital transformation across industries, including automotive, advanced manufacturing, and technology consulting firms.
We have recently seen unprecedented growth in our specialist sector and always have a wide range of job openings at both junior and senior levels, including Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, France, United States, and the Netherlands.
Our Detroit data recruitment experts will help you find the ideal candidate for your business. Get in contact with us!
WHAT SETS US APART FROM OTHER DETROIT DATA RECRUITMENT AGENCIES?
What sets Harnham's Data and AI Recruitment apart from other data and AI staffing agencies in Detroit is our extensive experience in the data industry, as we've been in it for so many years. Our Detroit data recruitment team is well-informed, offering insider knowledge and a wealth of experience.
Our entire team is committed to providing exceptional service. Our recruitment consultants not only know how to procure the top-tier candidates with exceptional talent for our clients but also prep and train our pool of candidates to ensure they’re well-prepared to take on the data job they’re interested in. If you’re searching for top AI talent that will drive business growth, Harnham provides the best-suited candidates for your needs. Whether you're in Detroit, Ann Arbor, Auburn hills or the anywhere in Michigan state, our recruitment team connects you with exceptional AI professionals who bring innovative solutions and actionable insights to your business.
We value client feedback, using it to refine our recruitment strategies and ensure we meet the client values of each organization we work with. By continuously optimizing our recruitment process, we provide businesses with AI specialists who align with their long-term objectives and contribute to operational success.
We also offer insights into the data industry with salary and diversity guides, so we can help our clients make the best hiring decisions for their data roles. For example, our Detroit team will understand the nuances of engineering staffing for data or ai roles. This makes us a preferred choice for industries such as advanced manufacturing and the automotive industry, as well as others.
Connect with our team and learn how we can assist your business with talent acquisition services, providing you with the exceptional candidates your company needs to achieve its business goals.
WHAT TO EXPECT
Detroit is rapidly becoming a hub for artificial intelligence and advanced technologies, particularly in sectors such as automotive, custom software solutions, and mobile app development. With a growing demand for AI-native solutionsand custom AI solutions, the city offers ample opportunities for businesses looking to leverage AI expertise.
Detroit’s strong project management and focus on economic development have made it a top location for companies seeking AI Detroit talent. Automotive leaders in Auburn Hills and Bloomfield Hills are actively investing in next-generation technologies, including AI-powered applications for autonomous vehicles, machine learning in manufacturing, and custom software development services.
With the increasing role of analytics in AI-driven decision-making, Detroit-based businesses are leveraging detailed analytics to enhance business intelligence and create data-driven strategies. Whether you're in real estate, finance, or engineering, integrating AI solutions with analytics ensures long-term success.
By partnering with Harnham, businesses gain access to a talent-rich ecosystem and consulting services tailored to the needs of companies at the forefront of AI adoption. Whether you're looking for AI engineers, software engineers, or business consulting firms that specialize in custom AI solutions, Detroit offers the ideal landscape to scale AI capabilities.
JOBS
LATEST Detroit
DATA & AI JOBS
Harnham are a specialist Data & AI Recruitment business with teams that only focus on niche areas.
Machine Learning Engineer
London
£500 - £560
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
ML Engineer
£500-£560
The Company
They are a well‑established consumer technology business with a mission to create a safe, trusted environment for millions of users. Data, experimentation, and scalable engineering are core to how they operate. Their Trust function is expanding, and they are investing heavily in modern ML infrastructure to support rapid growth. You will join a collaborative environment where ML Engineers, Scientists, Backend Engineers, and MLOps specialists work closely to deliver measurable impact.
The Role
In this role, you will:
* Design and implement pipelines for training, evaluating, deploying, and monitoring detection models
* Productionise detection models in partnership with ML Scientists, improving reliability and latency across asynchronous inference workflows
* Collaborate with backend and product teams to define integration requirements for trust detection services
* Extend ML infrastructure with MLOps teams, including reproducible training workflows, CI/CD for model deployment, batch and real‑time model serving, feature consistency, and monitoring
* Uphold strong standards around testing, observability, and operational excellence
* Contribute to a scaling engineering culture where experimentation and measurable outcomes are central
Your Skills and Experience
* Strong commercial experience building and deploying ML pipelines in production
* Experience with asynchronous ML inference pipelines
* Deep understanding of end‑to‑end ML workflows from research through to deployment
* Ability to operate with ownership in complex, fast‑moving environments
* Strong communication skills for working with both technical and non‑technical stakeholders
* Experience designing systems within modern cloud environments such as AWS or GCP
* Proficiency in Python and common ML frameworks such as PyTorch, TensorFlow, or scikit‑learn
* Exposure to ML/MLOps tooling such as SageMaker, MLflow, or TFServing
* Experience with Spark, Databricks, CI/CD tools, and streaming or orchestration systems like Kafka or Airflow
How to Apply
If you are interested in this Machine Learning Engineer position, please apply with your CV.
To Apply for this Job Click Here
Senior Machine Learning Engineer
Dublin
€120000 - €130000
+ Data Science & AI
PermanentDublin
To Apply for this Job Click Here
Senior Machine Learning Engineer
Dublin, hybrid one day per month
Up to 130k Euros plus bonus
If you enjoy tackling complex optimisation challenges and want to see your work shape commercial decision making at huge scale, this is a rare opportunity. You will design production‑grade optimisation systems that directly influence pricing and promotional strategy, all while working with modern ML infrastructure and highly capable engineering teams.
The Company
They are a global technology organisation operating across digital products and interactive entertainment. Their data teams are well established and work on high‑impact projects that influence product, commercial, and strategy decisions. They combine strong technical investment with a collaborative culture built around continuous improvement and measurable outcomes. You will be joining a growing optimisation function with clear leadership support.
The Role
* Build large scale optimisation models using Gurobi and OR Tools.
* Develop decision systems that incorporate ML forecasts and operate under complex business constraints.
* Improve solver performance, workflows, and runtime efficiency.
* Translate commercial requirements into scalable optimisation frameworks.
* Partner with ML engineers, product teams, and business stakeholders to deploy optimisation systems into production.
* Lead scenario modelling to support strategic planning.
* Provide technical leadership and mentor engineers within the optimisation space.
Your Skills and Experience
* Strong commercial experience designing and deploying optimisation systems using Gurobi or OR Tools.
* Expertise in mathematical optimisation or operations research supported by an advanced academic background.
* Strong programming capability in Python and Java.
* Experience building optimisation engines that integrate with ML model outputs.
* Ability to explain complex optimisation concepts to varied stakeholders.
* Comfortable solving optimisation challenges within dynamic and fast changing environments.
What They Offer
* Salary up to 130k Euros plus bonus.
* Hybrid working with one day a month onsite in Dublin.
* High visibility across commercial, ML, and engineering teams.
* Opportunities to lead, influence optimisation strategy, and shape long term decision systems.
How to Apply
To apply, please send your CV.
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
$200000 - $230000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Principal Machine Learning Engineer – ML Platform
REMOTE – US
$180,000-$230,000 + Equity
We’re partnered with a scaling AI‑driven technology company building large‑scale, production‑grade ML systems used in real‑time decisioning. They’re seeking a Senior Machine Learning Engineer who loves production ML over research, with an emphasis on distributed compute, reliability, and end‑to‑end ownership.
This is a role for someone who enjoys shaping platform architecture while still being hands‑on.
What you’ll be doing
- Designing, training, and deploying high‑scale ML models used in live systems
- Building distributed training pipelines (PyTorch, Ray)
- Owning the ML lifecycle across feature engineering, training, evaluation, inference, monitoring
- Improving ML reliability, observability, and reproducibility
- Working closely with engineering, SRE, and product to shape platform direction
- Contributing to ML architecture standards, CI/CD, and testing frameworks
What they’re looking for
- Strong experience delivering production ML systems end‑to‑end
- Expertise with Python, PyTorch, distributed compute (Ray, Spark)
- Background in large‑scale data processing and MLOps tooling
- Ability to diagnose production issues and drive architectural improvements
- Experience with event‑driven ML and model deployment frameworks is a plus
Why this role
- High ownership of ML platform direction
- Complex, real‑world ML workloads at meaningful scale
- Opportunity to improve and evolve existing infrastructure
- Equity + strong compensation package
HOW TO APPLY
If you’re passionate about building robust, scalable ML systems that drive real business impact, apply now.
To Apply for this Job Click Here
Senior Machine Learning Scientist
San Francisco
$180000 - $200000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior Machine Learning Scientist
Location: SF Bay Area – Hybrid (3 days/week onsite)
Salary: $180-200k base + Equity
A leading commerce marketplace with 130M+ users and billions of daily events is hiring a Senior Machine Learning Scientist to drive innovation across personalization, feed ranking, computer vision, and GenAI. You’ll work on high-impact ML solutions that directly shape user experience and business outcomes at massive scale.
What You’ll Do
- Lead full-lifecycle ML projects from idea to production across core areas like personalization, trust & safety, marketing optimization, and user engagement.
- Own the ML development process-from data exploration and feature engineering to model training, deployment, and post-launch optimization.
- Collaborate cross-functionally with ML engineers, PMs, and business stakeholders to identify and prioritize high-leverage initiatives.
- Experiment with emerging AI techniques, including GenAI, computer vision, and LLMs, to push the boundaries of what’s possible on the platform.
- Build scalable, production-ready ML systems that enhance key metrics like retention, engagement, and conversion.
What You Bring
- 3+ years of experience building, deploying, and maintaining ML models at scale.
- Deep expertise in Python, SQL, Spark (PySpark or Scala) and frameworks like PyTorch or TensorFlow.
- Proven track record in consumer tech or large-scale marketplaces companies.
- Hands-on experience with CNNs, Transformers, Vision Transformers, and personalization algorithms.
- Background in user behavior modeling, search relevance, or real-time data systems.
- Strong foundation in experimentation (A/B testing), statistics, and applied ML.
- Exceptional communication skills and the ability to translate technical insights into business value.
- Experience with LLMs, RAG (Retrieval-Augmented Generation), or PEFT (Parameter-Efficient Fine-Tuning) techniques.
To Apply for this Job Click Here
Machine Learning Engineer – Remote
New York
$150 - $165
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
The Company
Our client is an innovative gaming company focused on creating high‑quality, immersive experiences powered by advanced technology. They combine strong engineering with creative design to develop games enjoyed by players worldwide, and are expanding their AI capabilities to push the boundaries of gameplay and simulation.
Role Overview
We are looking for an engineer who can take ownership of the full lifecycle of Reinforcement Learning (RL) systems-from model design and experimentation through large‑scale training and deployment. This position suits someone who enjoys working at the intersection of research, software engineering, and cloud computing, and who thrives in environments with complex data and evolving requirements.
What You’ll Do
- Develop RL solutions end‑to‑end, covering data pipelines, model design, training, and production deployment.
- Run RL and ML experiments using Python‑based machine learning frameworks.
- Implement, customize, and tune RL algorithms such as PPO, SAC, and DQN.
- Architect RL systems using modern cloud tools and distributed infrastructure.
- Improve RL training pipelines to maximize performance, scalability, and reliability.
Requirements (Must‑Have)
- Several years of experience delivering RL systems that have been used in real‑world or production environments.
- Deep understanding of core RL algorithm families and training workflows.
- Strong hands‑on experience with Python and frameworks like PyTorch or TensorFlow.
- Experience working with real RL datasets, including data formats, schemas, and collection processes.
- Proven ability to write production‑quality machine learning code.
Bonus Skills (Nice to Have)
- Experience with distributed RL frameworks (e.g., Ray RLlib).
- Familiarity with cloud platforms, with preference for experience on Google Cloud.
- Background in RL applied to computer vision.
- Exposure to backend engineering, DevOps, or MLOps infrastructure.
To Apply for this Job Click Here
Machine Learning Engineer (Reinforcement Learning)
Manhattan
$65 - $75
+ Data Science & AI
ContractManhattan, New York
To Apply for this Job Click Here
The Role:
You will design, train, optimize, and productionize Reinforcement Learning models at scale. This role is ideal for someone who is comfortable operating across research, engineering, and cloud systems while owning end‑to‑end RL development. You will work with complex datasets, ambiguous requirements, and modern distributed systems.
Key Responsibilities:
- Build RL solutions from data collection to deployment.
- Run ML and RL experiments using Python ML libraries.
- Implement and tune RL algorithms such as PPO, SAC, or DQN.
- Design RL architectures using cloud tooling.
- Optimize RL pipelines for speed, scale, and reliability.
Requirements (Must Have):
- Multiple years experience delivering production or real‑world RL solutions.
- Strong knowledge of RL algorithm families and training procedures.
- Hands‑on experience with Python, PyTorch or TensorFlow.
- Experience working with real RL datasets and associated data schemas.
- Experience shipping production‑ready ML code.
Nice to Have:
- Distributed RL (Ray RLLib).
- Cloud platforms (GCP preferred).
- CV‑based RL experience.
- Backend engineering or MLOps exposure.
To Apply for this Job Click Here
Senior Machine Learning Engineer
Dublin City Centre
€90000 - €160000
+ Data Science & AI
PermanentDublin City Centre, Dublin
To Apply for this Job Click Here
Senior & Staff Machine Learning Engineers
1 day a month in Dublin
We are working with a global enteratinment company looking to add 2 Machine Learning engineers to their team.
You will be involved in the pricing and optimisation of games across a personalised search platform. You will both build these pricing models and deploy them.
Required:
- Pricing & Optimisation experience
- Deployment experience – docker, kubernetes, CI/CD
- CPlex or Gurobi experience
- Python, TensorFlow, PyTorch experience
To Apply for this Job Click Here
Senior Software Engineer, Machine Learning
USA
$170000 - $215000
+ Data Engineering
PermanentUSA
To Apply for this Job Click Here
Senior Software Engineer, Machine Learning
$170,000-$215,000 + bonus & benefits
Remote – U.S., UK, or Canada
About the Company
We’re a remote-first product and engineering organization building AI-powered systems that improve how teams think, collaborate, and make decisions. Our focus is on augmenting human creativity by embedding intelligent capabilities directly into real-world workflows.
We operate at the intersection of applied machine learning, thoughtful product design, and scalable systems, with a strong emphasis on shipping production AI that delivers measurable value. The team is globally distributed, highly collaborative, and driven by ownership and technical excellence.
About the Role
We’re hiring a Senior Machine Learning Engineer to design and ship production AI systems that power collaboration and decision-making at scale. This is an applied ML role with real product impact. You’ll work across retrieval systems, generative AI features, and evaluation frameworks, owning systems from data ingestion through deployment and iteration.
What You’ll Do
- Build and deploy generative AI and RAG systems embedded into real user workflows
- Design and maintain scalable data pipelines for training, evaluation, and continuous improvement
- Implement human-in-the-loop processes to improve model quality and reduce hallucinations
- Partner with product and engineering teams to deliver high-impact, user-facing AI capabilities
- Contribute to training, inference, monitoring, and production deployment infrastructure
What We’re Looking For
- 5+ years building and shipping production machine learning systems
- Strong Python experience with PyTorch or TensorFlow
- Experience with LLMs, embeddings, retrieval systems, or ranking architectures
- Demonstrated ownership of ML systems end-to-end (data to model to serving to iteration)
- Comfortable mentoring others and raising the technical bar
Nice to Have
- MLOps or ML infrastructure experience (CI/CD, observability, automation)
- Experience building AI systems in collaborative or workflow-driven environments
Why Join
- Own production ML systems with real user impact
- Work on applied generative AI in real-world products
- High autonomy and architectural influence
- Remote-first engineering culture
- Competitive compensation and strong growth opportunities
To Apply for this Job Click Here
Senior Machine Learning Engineer
London
£90000 - £100000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Senior Machine Learning Engineer
Location: London (approx. 1 day per month onsite)
Compensation: £90k-£100k + bonus
A major global technology company is investing heavily in an R&D initiative aimed at transforming how large‑scale virtual environments are analysed, validated, and improved. They are seeking a Senior Machine Learning Engineer to join a highly technical applied research team working on automated anomaly detection for interactive digital worlds.
This team works across research, prototyping, and applied engineering, tackling challenges involving video understanding, real‑time systems, simulation, and complex behaviours. If you enjoy pushing ML beyond traditional datasets and into rich, dynamic, unpredictable spaces, this role offers an unusual blend of creativity and impact.
What You Will Work On
You’ll contribute to building an intelligent agent system that can autonomously explore digital environments and surface anomalies ranging from visual defects to unexpected gameplay behaviours. This involves models that can learn structure, context, and semantic understanding of highly diverse scenes.
Your work will include:
- Designing and training anomaly‑detection models tailored for video, visual streams, or simulated data.
- Working on components that contribute to autonomous traversal, content understanding, and error detection.
- Prototyping new concepts across self‑supervised learning, multimodal embeddings, or CV architectures.
- Collaborating closely with research scientists, software engineers, and domain specialists.
- Taking part in a research‑driven culture where experimentation and curiosity are encouraged.
- Providing technical guidance and practical mentorship to junior engineers.
This is a role for someone who enjoys blending research thinking with real engineering, and who wants their work to directly influence how complex digital ecosystems are evaluated at scale.
What You Bring
This role suits engineers who love solving challenging ML problems in visually rich environments.
We’re looking for someone who has:
- Strong hands‑on ML engineering experience – ideally with video, image sequences, or visual analytics.
- Exposure to anomaly detection, real‑time analysis, simulation, or sequential modelling.
- Experience with end‑to‑end ML development: data, modelling, prototyping, evaluation, iteration.
- Curiosity or passion for game‑like or simulation‑based environments (not required, but helpful).
- Familiarity with research concepts, academic papers, or experimental methodologies.
- The ability to work in an exploratory, research‑heavy environment with evolving priorities.
Apply with the link below!
To Apply for this Job Click Here
Senior Machine Learning Engineer
London
£90000 - £120000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Senior Machine Learning Engineer
Up to £120,000 + bonus
London based (hybrid 2-3 days per week in office)
If you enjoy solving real business problems, and working technical team, this is a brilliant place to grow. You’ll work on end‑to‑end ML projects across multiple private equity companies, helping them unlock value, modernise their data capabilities, and embed production‑ready AI and ML solutions.
THE COMPANY
This technology and consulting organisation partners with private equity firms across the UK and Europe to deliver meaningful, data‑driven transformation. With a good technical team they’ve built a positive reputation and an enjoyable team to work with.
THE ROLE
As a Senior ML Engineer, you’ll work across different clients, industries, and use cases – perfect if you enjoy variety and dislike being stuck on slow moving projects. You’ll be hands‑on with Python, cloud, and Databricks, building and deploying ML solutions with real commercial impact.
You can expect to work on projects such as:
- Optimisation models
- Predictive modelling for customer churn, asset failure, or sales performance
- Full ML life cycle ownership: prototyping → deployment → monitoring
- Building production‑ready pipelines, APIs, and MLOps workflows
You’ll typically work in a small and cross‑functional team.
SKILLS AND EXPERIENCE
The successful Machine Learning Engineer will have the following skills and experience:
- 4-6+ years in ML Engineering or Data Science
- Strong Python skills and experience with cloud platforms (AWS, GCP, or Azure)
- Experience building and deploying production ML systems
- Familiarity with Databricks, Spark, or MLOps workflows (nice to have but not essential)
- Solid understanding of modern ML methods and data engineering fundamentals
- Strong academic background (ideally Russell Group, with a Master’s minimum)
- Ability to work quickly in fast‑paced environments and communicate with non‑technical stakeholders
BENEFITS
The successful Machine Learning Engineer will receive the following benefits:
- Competitive salary based on level
- Hybrid working
- Ability to work across multiple industries and projects
- Extremely strong, and technical team
- Clear progression paths and high visibility in a small organisation
HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
To Apply for this Job Click Here
Staff Machine Learning Engineer
London
£140000 - £210000
+ Data Science & AI
PermanentLondon
To Apply for this Job Click Here
Staff Machine Learning Engineer
Competitive salary up to £140,000- £210,000 + bonus
London based (1 day in office per month)
This is a global technology group with an R&D team that moves fast and thinks big. They’re exploring how AI can raise the quality and performance of large‑scale digital products, blending hands‑on engineering with real research. If you enjoy trying new ideas, you’ll fit in perfectly.
THE COMPANY
This is a global tech organisation with a dedicated R&D function exploring how AI can improve the quality, reliability, and performance of large‑scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands‑on engineering.
THE ROLE
As a Staff ML Engineer, you’ll take the lead on projects focused on anomaly detection in video based or interactive environments. You’ll guide technical direction, support junior engineers, run experiments, and ship models into production.
Specifically, you can expect to be involved in the following:
- Building and improving ML models for anomaly detection
- Leading research work streams
- Scoping, planning, and communicating project direction with stakeholders
- Mentoring juniors
- Working across areas like self supervised learning, multi modal, or vision‑language models
- Bringing concepts to life: from research → prototype → production
SKILLS & EXPERIENCE
You’ll thrive in this role if you have:
- Experience leading technical delivery or mentoring junior ML engineers
- Strong hands‑on ML skills in Python and frameworks like PyTorch or TensorFlow
- A background in anomaly detection, computer vision, or video based ML
- Experience taking ML research or prototypes through to real world deployment
- Either a research grounding (publications, research‑led roles) or deep knowledge of gaming/interactive systems
BENEFITS
- Competitive salary
- 1 day per month in the office
- Sponsorship available
- Great feedback and clear process
HOW TO APPLY
Please register your interest by sending your resume to Madison Barlow via the Apply link on this page.
To Apply for this Job Click Here
Staff Machine Learning Engineer
£140000 - £200000
+ Data Science & AI
PermanentEngland
To Apply for this Job Click Here
Staff Machine Learning Engineer
Location: London (approx. 1 day per month onsite)
Compensation: £140k-£200k + bonus
Visa sponsorship available
A global technology organisation operating at the forefront of interactive digital experiences is expanding its advanced research division. They are looking for a Staff Machine Learning Engineer to help drive an ambitious multi‑year initiative focused on developing next‑generation automated evaluation systems for complex virtual environments.
This division operates like an internal innovation lab – small, deeply technical, and empowered to explore ideas that shape the future of automated testing, simulation, and real‑time content quality. The team’s mission is to build intelligent agents capable of autonomously navigating rich, dynamic digital worlds and detecting anomalies, glitches, and unexpected behaviours at scale.
This is a strategic, high‑ownership role where you will set technical direction, lead complex research efforts, and work across boundaries to turn cutting‑edge machine learning into real‑world impact.
What This Role Looks Like
As a Staff‑level engineer, you’ll operate as a technical leader, research driver, and architect of end‑to‑end ML solutions. You’ll work on problems that sit at the intersection of anomaly detection, computer vision, reinforcement learning, multimodal models, and simulation.
You’ll be involved in:
- Architecting advanced anomaly‑detection systems for visual, video, and multimodal data.
- Driving the research agenda across self‑supervised learning, VLMs, and new CV methodologies.
- Designing rapid prototypes, evaluating results, and scaling only the most promising approaches.
- Shaping long‑term technical strategy in collaboration with research scientists, engineers, and domain experts.
- Providing hands‑on mentorship and guidance to junior and mid‑level engineers (without line management).
- Translating ambiguous research ideas into structured technical workstreams and deliverables.
- Communicating complex concepts clearly to both technical and non‑technical groups.
You’ll be working on a problem space with global impact – the tooling you build will influence how interactive experiences are validated and improved for audiences numbering in the hundreds of millions.
What You Bring
You’ll thrive here if you combine deep ML expertise with originality, curiosity, and the ability to guide others.
Ideal experience includes:
- Strong background in anomaly detection, particularly for visual, video, or temporal signals.
- Experience leading research or engineering efforts within a high‑impact project or product area.
- A track record of technical leadership, architectural decision‑making, and mentoring.
- Proficiency in computer vision, multimodal learning, or self‑supervised methods.
- Solid research grounding – either through publications or through demonstrated applied R&D results.
- Ability to work in environments where the roadmap is innovative, ambiguous and requires exploration.
- A genuine interest in rich interactive digital worlds – whether through gaming, simulation, or related fields.
Apply with the link below!
To Apply for this Job Click Here
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With over 15 years of experience working solely in the Data & AI sector, our Detroit Data recruitment experts are able to offer detailed insights and support into the industry.
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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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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
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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 – 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 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 – 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 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 – 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 – 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 – 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.
