ML OPS
TALENT SOLUTIONS
Our MLOP's recruitment services are specifically tailored to the field of Machine Learning Operations. We understand the critical role ML Ops professionals play in bridging the gap between machine learning development and operational deployment, ensuring scalable, efficient, and reliable machine learning systems.
We specialize in MLOPS Jobs, offering data talent solutions for all levels of seniority within ML Ops, from hands-on engineers to strategic leaders. Our comprehensive approach ensures that your team not only has the technical expertise to manage ML systems but also the vision to achieve operational excellence and innovation.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom. This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Machine Learning Engineering and MLOPs Jobs talent.
We recognize the unique nature of each organization's Machine Learning needs. Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and technical requirements.
OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Machine Learning projects and initiatives, including MLOPs jobs.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Machine Learning field who can propel your business strategies and technological innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Machine Learning capabilities.
JOBS
LATEST ML OPS
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Generative AI Engineer
New York
$85 - $125
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Senior Gen AI Engineer
Harnham, the leading recruitment specialist in Data and AI is currently partnering with a Databricks consulting partner delivering enterprise-grade GenAI and LLM solutions for end clients.
They are in need of a Sr Gen AI Engineer who has at least 5 years of experience with Databricks and who is comfortable communicating with both technical and non-technical stakeholders.
The ideal hire does not necessarily need to come form a specific company or industry, however, *hands-on GenAI production experience (RAG, LLMs, or agentic frameworks)* is a MUST.
- Role – Sr. Gen AI Engineer
- Location – Remote – OR – Hybrid (2-3 days on-site) in Dallas, Texas
- Pay – $85-$125 per hour
- Length: Extendable, 12 months initial contract
- Utilization: 40 hr/week
- Benefits: W2 employees are eligible to health, dental, vision, 401k benefits.
As a Sr Gen AI engineer, you will be a key player in driving project completion and working extensively with both Databricks and the end-client on your projects.
Key Responsibilities:
- Deliver end-to-end GenAI projects on the Databricks platform, from scoping through build and deployment.
- Develop RAG (Retrieval-Augmented Generation) and LLM-based applications that utilize enterprise data and knowledge repositories.
- Implement vector database solutions, integrate LangChain / agentic frameworks, and optimize LLM workflows.
- Support clients in productionizing GenAI systems with best practices for MLOps, CI/CD, and data pipeline automation.
- Collaborate with data teams to design scalable architectures and advise on tooling, deployment, and governance.
- Provide mentorship to broader ML teams and help clients adopt Databricks-native GenAI solutions effectively.
Requirements:
- 5+ years of overall experience in AI/ML engineering or data systems.
- 1-2 years of proven, hands-on GenAI production experience (RAG, LLMs, or agentic frameworks).
- Strong Databricks expertise – all delivery occurs within the Databricks ecosystem (Spark, MLflow, Unity Catalog, etc.).
- Proficiency in Python, LangChain, OpenAI API, Hugging Face, and vector DBs such as FAISS, Pinecone, Weaviate, or Chroma.
- Strong grasp of cloud deployment (AWS, Azure, GCP) and DevOps pipelines (Git, Azure Pipelines, CI/CD).
- Excellent communication skills for client-facing consulting and delivery engagements.
- Preferred certifications: Databricks Associate/Professional ML Engineer, Databricks GenAI Engineer, or Databricks Data Engineer.
This is an excellent opportunity for someone who has designed, developed, and deployed generative AI solutions and wants to leverage that expertise as a hands-on consultant.
To Apply for this Job Click Here
Director of AI
$300000 - $350000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of AI
New York
up to £350,000 + Bonus + Carry
A leading private equity firm is seeking a hands-on Data & AI leader to drive value across its fintech portfolio. This is a high-impact role blending strategy, delivery, and innovation, working directly with deal teams, C-suites, and Boards.
THE ROLE
- Lead AI/data diligence for new investments
- Build and scale a Data & AI practice across portfolio companies
- Co-create AI-enabled value creation plans (VCPs)
- Drive internal AI transformation and platform development
- Represent the firm through thought leadership and industry engagement
REQUIREMENTS
- Proven track record delivering AI/data initiatives in fintech or regulated sectors
- Experience in PE/VC, consulting, or operator roles with value-creation focus
- Deep expertise in:
- LLMs and agent-based architectures
- End-to-end AI/ML development and deployment (MLOps)
- Data governance, privacy, and responsible AI
- Strong commercial acumen and stakeholder influence
- Ability to lead small, high-performing teams
THE BENEFITS
- Competitive base salary + bonus + carried interest
- High-impact, high-visibility role with direct access to investment teams and portfolio leadership
- Opportunity to shape the future of AI in private equity and fintech
- Hybrid working with offices in New York
If you’re interested in shaping the future of AI in private equity, apply now to explore this unique opportunity.
To Apply for this Job Click Here
Director, AI – Higher Education
$230 - $260
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of AI – Higher Education
Remote – US based
About the Company
Join a global leader in education that is undergoing a major transformation – evolving from a traditional content publisher to a pioneer in digital learning and AI-driven education.
The company’s mission is to unlock the potential of every learner through personalized, data-informed learning experiences. With deep expertise in core curriculum and a powerful model serving instructors, institutions, and students, this organization is leveraging data and generative AI to redefine how students learn.
Their digital platforms already reach millions of learners worldwide, offering AI-powered study tools, reading companions, and adaptive learning solutions that drive measurable improvements in student engagement and performance.
Now is the ideal time to join as they enter a once-in-a-generation transformation – applying large language models and machine learning to build the next generation of intelligent education products.
The Opportunity
The Director of AI (Higher Education) will lead the generative AI strategy and application delivery for the organization’s Higher Education division. This is a high-impact leadership role that combines visionary strategy with hands-on technical oversight.
You’ll partner closely with Product, Data Science, and Engineering teams to design and deploy production-grade AI applications that enhance learning outcomes and deliver personalized educational experiences at scale.
Key Responsibilities
-
Define and execute the generative AI strategy for Higher Education.
-
Lead cross-functional collaboration with Product and Data teams to assess feasibility, prioritize projects, and deliver impactful AI solutions.
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Manage and mentor a growing team of data scientists and machine learning engineers.
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Oversee development of key AI applications, including personalized learning assistants, content summarization, and adaptive recommendation systems.
-
Uphold ethical and responsible AI practices – focusing on bias mitigation, accuracy, and data privacy.
-
Drive measurable results: accelerate AI project throughput, deliver scalable models, and strengthen internal AI capabilities.
About You
-
Advanced degree (PhD or equivalent experience) in Applied Mathematics, Physics, Statistics, or related quantitative field.
-
7-10+ years of industry experience progressing from hands-on data science to leadership.
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Proven track record in shipping generative AI applications to production.
-
Strong collaborator who can balance technical vision with pragmatic delivery.
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Experienced leading both people and projects in fast-moving, cross-functional environments.
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Passion for education and using AI to make a social impact
Technical Expertise:
-
LLM application development (OpenAI API, LangChain, RAG, etc.)
-
Python and modern ML frameworks (PyTorch, TensorFlow)
-
MLOps and model orchestration best practices
-
Data architecture, evaluation frameworks, and scalable deployment
Why Join
This is a rare opportunity to shape the future of digital learning at a global scale – applying cutting-edge AI to solve meaningful challenges in education. You’ll be joining a passionate, mission-driven team with the autonomy, resources, and data infrastructure to make a lasting impact.
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
Senior Data Engineer
London
£500 - £560
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data Engineer
£500 – £560 per day
London – 1 day per week in office
We’re working with a leading global healthcare technology company who are building out their next-generation data platform, with a strong emphasis on automation, testing, and cloud-native engineering, and are looking for an experienced Data Engineer to join their team.
The Role
You’ll be part of a modern data engineering function that’s implementing best-in-class data practices across ingestion, transformation, and orchestration layers. The environment is highly technical, collaborative, and fast-paced, giving you the opportunity to work across a wide variety of data sources and tools.
Day-to-day responsibilities include:
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Designing and developing DBT models and Airflow pipelines within a modern data stack.
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Building robust data ingestion pipelines across multiple sources – including external partners, internal platforms, and APIs.
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Implementing automated testing and CI/CD pipelines for data workflows.
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Performing data extraction and enrichment, including web scraping and parsing of unstructured text (e.g., scanned forms and documents).
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Collaborating on forecasting and predictive analytics initiatives.
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Bringing modern engineering practices, testing frameworks, and design patterns to the wider data function.
Tech Stack & Skills
Core skills:
-
Strong experience with DBT, Airflow, Snowflake, and Python
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Proven background in automated testing, CI/CD, and test-driven development
-
Experience building and maintaining data pipelines and APIs in production environments
Nice to have:
-
Knowledge of Snowflake infrastructure and data architecture design
-
Experience using LLMs or MLOps frameworks for data extraction or model training
-
Familiarity with cloud-agnostic deployments and version control best practices
What You’ll Bring
-
A proactive, hands-on approach to engineering challenges
-
A passion for data quality, scalability, and performance
-
The ability to influence best practices and introduce modern standards across a data estate
-
Strong problem-solving skills and the confidence to work across multiple complex data sources
Why Join?
This is an opportunity to help shape the data foundations of a high-impact healthcare technology business – one that’s actively exploring the intersection of data engineering, MLOps, and AI.
You’ll have ownership of end-to-end data workflows, work with a world-class tech stack, and join a forward-thinking team that values automation, collaboration, and innovation.
To Apply for this Job Click Here
Director of AI
$225000 - $265000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of AI
Remote (U.S.-based)
$225,000 – $265,000 Salary + Bonus
About the Company
Our client is a global education leader undergoing a major digital transformation – evolving from traditional publishing into an AI-driven provider of personalized learning and data-powered educational experiences.
They’re leveraging LLMs to reimagine how students learn, with a mission to create measurable impact on learning outcomes rather than just optimizing engagement metrics.
About the Role
We’re seeking a Director of AI to lead generative AI strategy and product development within the Higher Education business unit. This person will work cross-functionally with Product, Data, and Engineering teams to scale AI applications that personalize learning and improve student outcomes.
You’ll guide a small but growing team and serve as a technical and strategic leader – balancing vision with hands-on expertise in AI systems delivery.
Key Responsibilities
- Define and execute the GenAI roadmap for the Higher Education business unit.
- Lead development of AI-powered learning tools and personalization systems.
- Partner closely with Product and Data leaders to assess feasibility and deliver results.
- Manage and mentor a high-performing team of ML engineers and data scientists.
- Drive ethical AI practices, ensuring safety, accuracy, and transparency in model outputs.
Desired Experience
- PhD, MS, or equivalent experience in Applied Math, Physics, Statistics, or a related field.
- 7-10 years of progressive experience in AI / ML, moving from hands-on contributor to leadership.
- Proven success in shipping GenAI applications to production.
- Strong technical fluency in Python, PyTorch/TensorFlow, LLM integration (OpenAI, LangChain, RAG), and MLOps principles.
- Background in education, edtech, or mission-driven tech preferred.
- Excellent stakeholder management and communication skills.
To Apply for this Job Click Here
Senior Machine Learning Engineer – Search & Recommendations
San Francisco
$160000 - $190000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
SENIOR MACHINE LEARNING ENGINEER – SEARCH & RECOMMENDATIONS
Hybrid – Bay Area (3 Days/Week Onsite)
$160,000 – $190,000 Base + Equity
About the Company
We’re a fast-growing online marketplace backed by a major global tech player. Our platform helps millions of people buy and sell items in a way that feels social, personalized, and community-driven.
With a strong base of engaged users on both the buying and selling side, we’re investing heavily in AI and machine learning to improve product discovery, build smarter seller tools, and make the platform safer and more enjoyable for everyone. We’re now growing our ML Engineering team to help make these experiences smarter, faster, and more scalable.
About the Role
We’re looking for a Senior Machine Learning Engineer to lead some of the most critical AI/ML initiatives across our platform. You’ll be responsible for designing and building machine learning systems that impact millions of users – from personalized recommendations and smarter search to seller tools and fraud detection.
This is a high-impact, hands-on role best suited for someone with deep experience in ML systems who wants to own projects end-to-end and help shape the future of a fast-moving, high-scale marketplace.
What You’ll Be Doing
- Lead development of core ML systems that power recommendations, personalization, and trust & safety
- Design both batch and real-time pipelines that take models from experimentation to full production
- Collaborate with data scientists to turn prototypes into scalable, production-ready models
- Improve and maintain our MLOps systems (serving, monitoring, retraining, etc.)
- Help set technical direction across multiple teams and mentor other engineers
- Partner with product and infrastructure teams to drive big-picture decisions
Our Tech Stack
- Languages & Frameworks: Python, PyTorch, TensorFlow
- Tools: Airflow, Spark, MLFlow, Databricks, Feature Store
- Infrastructure: AWS + GCP, supporting real-time and batch workflows
- Model Serving: Vector databases, scalable inference pipelines, model monitoring tools
What We’re Looking For
- 2+ years of engineering experience, including 1+ years working on ML systems in production
- Experience building and scaling recommendation, search, or personalization systems
- Strong understanding of distributed systems, model performance, and production deployment
- Able to design systems that balance speed, reliability, and cost
- Experience working on large-scale marketplaces, e-commerce, or other consumer platforms
Why You’ll Love It Here
You’ll join a small but mighty team making a real difference in how people shop, discover, and sell online. You’ll have the freedom to lead major projects, contribute to technical strategy, and see your work drive real business results – all within a supportive, fast-paced environment.
To Apply for this Job Click Here
Applied Research Manager
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Manager of Applied Research – AI Center of Excellence
Locations: Hybrid in New York, NY | Eagan, MN | Frisco, TX (relocation available)
Compensation: $250-270k base | $400k+ total comp with RSUs + annual bonus
Role Overview
We are seeking a technically strong Manager of Applied Research to join our client’s AI Center of Excellence and lead innovation across advanced NLP, ML, and LLM-driven systems. This is a hybrid player/coach position: you will directly contribute to building applied AI solutions while leading a small team of researchers and engineers. The role requires deep experience with modern large language models, retrieval systems, and agentic frameworks, as well as a track record of bringing cutting-edge research into production environments at scale.
Key Responsibilities
- Lead and mentor a research team while contributing hands-on to the development of ML/NLP/LLM-based legal and knowledge-domain products.
- Define and implement technical strategy across the AI lifecycle: from data acquisition, fine-tuning, and evaluation to deployment, observability, and governance.
- Drive innovation in LLM-based architectures, including Retrieval Augmented Generation (RAG), hybrid search systems, knowledge graph integration, and agentic workflows.
- Establish best practices for model evaluation, monitoring, and compliance, particularly in regulated industries (legal, financial, tax, or related domains).
- Collaborate closely with global stakeholders in product, engineering, and UX to ensure research outcomes translate into measurable customer impact.
- Stay ahead of the field in applied research, contributing thought leadership externally (e.g., publications, conferences) and internally (e.g., protocol design, innovation roadmaps).
Qualifications
- MS or PhD in Computer Science, Machine Learning, NLP, or a related field.
- 7+ years of professional experience, with at least 2 years in a player/coach leadership capacity managing technical contributors.
- Proven success in moving AI/ML research from experimentation to production systems.
- Expertise in large language models: fine-tuning, building evaluation frameworks, developing with RAG pipelines, hybrid retrieval, and integrating agentic systems (LangChain, LangGraph, Pydantic AI, etc.).
- Strong background in Python development; proficiency with additional languages such as Java or Scala are a plus.
- Hands-on knowledge of MLOps & infrastructure, including containerization, real-time inference pipelines, model observability, governance, and deployment in AWS and/or Azure.
- Experience in environments where compliance, auditability, and interpretability matter (legal, tax, banking, regulated enterprise software).
- Familiarity with building and scaling microservices for ML applications.
- Research mindset: demonstrated by publications in top-tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD) or equivalent contributions to the field.
- Strong ability to communicate complex technical concepts to diverse audiences and translate research into business and customer impact.
To Apply for this Job Click Here
Machine Learning Engineer II
San Francisco
$180000 - $205000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Title: Senior Machine Learning Engineer
Location: Hybrid – Redwood City, CA – 3x per week
Responsibilities:
- Designing and deploying advanced feed personalization algorithms and product recommendation systems
- Building scalable user behavior modeling solutions using convolutional neural networks and transformers
- Leading development of CV-based transformer models for enhanced product discovery
- Owning the complete ML lifecycle from data exploration through model deployment and maintenance
- Architecting scalable data platforms that support real-time personalization at scale
Qualifications:
- 3+ years of hands-on experience in data science and machine learning
- Deep expertise in personalization systems, specifically feed personalization and recommendation engines
- Proven experience with user behavior modeling and customer analytics
- Strong proficiency in convolutional neural networks, transformers, and CV-based transformer architectures
- Advanced skills in Python, SQL, Spark, Scala, and PySpark
- Extensive experience with PyTorch and TensorFlow frameworks
- Track record of deploying ML models in production environments at scale
- Experience building recommendation systems for e-commerce or retail platforms
- Background in computer vision applications for product discovery
- Knowledge of real-time ML serving infrastructure and MLOps practices
- Strong understanding of A/B testing and experimentation frameworks
To Apply for this Job Click Here
Staff AI Engineer
San Francisco
$200000 - $225000
+ Data Science & AI
PermanentSan Francisco, California
To Apply for this Job Click Here
Staff AI Engineer – Agentic Solutions
Location: Onsite – San Francisco or Menlo Park
Compensation: Base to $225,000 + Bonus + RSUs (Total ~ $400,000 annually)
Role Overview
Seeking a Staff-level AI Engineer to lead a high-impact team building and deploying agentic AI solutions at scale across a major financial services institution. This role is responsible for reducing operational costs across millions of transactions by architecting and implementing robust, enterprise-grade agentic systems in the cloud. The solutions built will touch every division and business line, demanding technical rigor and innovative problem-solving.
Responsibilities
- Lead the design, development, and deployment of agentic AI applications across multiple cloud environments and business units
- Build production-grade, scalable solutions handling millions of transactions daily in a highly regulated, large-scale FS context
- Deploy and fine-tune Large Language Models (LLMs) and agentic architectures for enterprise-wide, customer-facing use cases
- Partner with business stakeholders and engineering leaders to translate enterprise objectives into lasting, measurable value
- Drive end-to-end AI project development: definition, proof-of-value, robust engineering, deployment, and enterprise integration
- Mentor and guide a technical team focused on blending ML science and software engineering for scalable, real-world impact
- Ensure AI systems meet stringent regulatory, security, and compliance standards inherent to the financial industry
- Contribute to the vision for next-generation, cost-reducing AI solutions that accelerate innovation across the firm
Requirements
- 8+ years’ professional experience developing and delivering large-scale AI/ML solutions in a commercial setting, preferably within a MAANG, leading fintech, or high-velocity unicorn startup
- Expertise deploying LLMs and intelligent agents in production for enterprise/customer-facing use
- Strong blend of applied machine learning, MLOps, and software engineering
- Experience architecting and supporting cloud-native, agentic solutions in highly complex, high-transaction environments
- Ability to collaborate across cross-functional and business-facing teams, translating sophisticated AI techniques into clear business outcomes
- Applied experience (not just theoretical or publication-focused) in quantitative investment workflows, such as equities, fixed income, or multi-asset strategies, is a major plus
Nice to Haves
- Familiarity with the regulatory and compliance landscape of financial services AI deployment
- Experience building products for large-scale, consumer-facing environments
- Hybrid background in both applied research (not solely academic) and hands-on engineering
To Apply for this Job Click Here
Lead Data Scientist
City of London
£100000 - £135000
+ Data Science & AI
PermanentCity of London, London
To Apply for this Job Click Here
Lead/Principal Data Scientist
London – 3 days a week
Up to £135,000
About the Company
We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance.
They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes.
This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy.
Key Responsibilities
- Translate complex business problems into measurable data science solutions that deliver commercial value
- Lead the design, development, and deployment of predictive and optimisation models across multiple industries
- Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment
- Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions
- Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices
- Communicate findings and strategic insights to both technical and non-technical stakeholders
Requirements:
You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy.
- Proven experience applying data science in commercial settings
- Proven ability to lead data science projects from concept to production
- Deep understanding of statistical modelling, predictive analytics, and optimisation techniques
- Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders
- Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university
- Excellent communication skills and a collaborative mindset
Please note: This role cannot offer VISA sponsorship
To Apply for this Job Click Here
Software Development Manager, AI
Minneapolis
$180000 - $220000
+ Data Engineering
PermanentMinneapolis, Minnesota
To Apply for this Job Click Here
Software Development Manager, AI
LegalTech / AI / Product Engineering
Hybrid – Minneapolis, MN
$180,000 – $220,000 base + bonus
We’re partnered with a global leader in legal technology that delivers intelligent information and AI-driven solutions to professionals worldwide. Their innovation hub operates like a startup within the company, driving applied research in machine learning and generative AI to transform how legal research and workflows are delivered.
As part of their Product Engineering organization, they’re hiring a Software Development Manager to help lead engineering for their flagship legal search platform. This hybrid role is based in the great Minneapolis area with in-office collaboration 2-3 days per week.
The Role
As a Software Development Manager, you’ll oversee and grow a high-performing engineering team working on AI-powered applications. You’ll be responsible for guiding both frontend and backend development, influencing product direction, and ensuring delivery of innovative, enterprise-scale features. This role requires both strong technical expertise and leadership skills, making it ideal for someone who thrives at the intersection of hands-on engineering and team management.
Responsibilities
- Lead and inspire a team of 4-8 engineers, fostering growth, collaboration, and technical excellence.
- Drive the design and implementation of UI and backend systems using modern frameworks.
- Collaborate cross-functionally with product managers, designers, and other leaders to define strategy and set technical direction.
- Own roadmaps and project lifecycles, ensuring initiatives move from concept to launch.
- Mentor engineers, support professional development, and promote best practices.
- Define success metrics and evaluate impact using data-driven insights.
- Shape architecture and provide technical guidance across frontend, backend, and DevOps.
Requirements
- 7+ years of commercial software engineering experience, with ~3 years in leadership or management (open to tech leads with direct or dotted-line reports).
- Strong experience building scalable, enterprise-level applications.
- Backend expertise: Python with Django, Flask, or FastAPI.
- Frontend expertise: React, Angular, TypeScript, Node.js.
- Familiarity with RESTful APIs, data engineering, and MLOps.
- Cloud experience with AWS (preferred), Azure, or GCP.
- Proficiency in DevOps practices (CI/CD pipelines, infrastructure as code).
- Exposure to AI frameworks and GenAI concepts (TensorFlow, PyTorch, Hugging Face, RAG, prompt engineering).
- Bachelor’s degree in Computer Science or related field (Master’s preferred).
The Benefits
- Base salary of $180,000 – $220,000 + 20% bonus + RSUs (LTI), with total compensation up to ~$300K.
- Full benefits including health, dental, vision, and flexible PTO.
- Opportunity to lead product innovation at scale, with the backing of a global leader and the agility of a startup-style lab.
Key Words
Software Development, Engineering Management, Python, Django, Flask, FastAPI, React, Angular, Node.js, TypeScript, REST APIs, AWS, Cloud Infrastructure, CI/CD, DevOps, MLOps, Data Engineering, AI, Generative AI, LegalTech, Enterprise Software
To Apply for this Job Click Here
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Frequently Asked Questions: Machine Learning Operations
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 &
AI.
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
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 – 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 – 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
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 – 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.
