Director of Data, ML & AI Engineering Job at Collinson (London)

Senior Director of AI Engineering

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in M...

Location

United States , Minneapolis

Salary:

322000.00 USD / Year

Coherent Solutions

Expiration Date

Until further notice

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
(ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
(iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph

Job Responsibility

Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO
Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph
Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection
Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI
Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale
Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI
Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark
Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA)
Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations
Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact

What we offer

health insurance
vision insurance
dental insurance
life insurance
PTO
401k
HSA

Fulltime

Director of AI Engineering

We are entering a hyper-growth phase of AI innovation and are hiring a Director ...

Location

Canada; United States

Salary:

300000.00 - 450000.00 USD / Year

Apollo.io

Expiration Date

Until further notice

Requirements

10–15+ years in software engineering, with significant leadership experience owning AI/ML or applied LLM systems at scale
Proven history shipping LLM-powered features, agentic workflows, or AI assistants used by real customers in production
Deep understanding of LLM orchestration frameworks (LangChain, LlamaIndex), RAG pipelines, vector search, embeddings, and prompt engineering
Expert in backend & distributed systems (Python strongly preferred) and cloud infrastructure (AWS/GCP)
Strong experience with telemetry, observability, and cost-aware real-time inference optimizations
Demonstrated ability to lead senior engineers, define technical roadmaps, and deliver outcomes aligned to business metrics
Experience building or scaling teams working on experimentation, optimization, personalization, or ML-powered growth systems
Exceptional ability to simplify complex problems, set clear standards, and drive alignment across Product, Data, Design, and Engineering
Strong product sense, ability to weigh novelty vs. impact, focus on user value, and prioritize speed with guardrails
Fluent in integrating AI tools into engineering workflows for code generation, debugging, delivery velocity, and operational efficiency

Job Responsibility

Define the multi-year technical vision for Apollo’s AI stack, spanning agents, orchestration, inference, retrieval, and platformization
Prioritize high-impact AI investments by partnering with Product, Design, Research, and Data leaders to align engineering outcomes with business goals
Establish technical standards, evaluation criteria, and success metrics for every AI-powered feature shipped
Lead the architecture and deployment of long-horizon autonomous agents, multi-agent workflows, and API-driven orchestration frameworks
Build reusable, scalable agentic components that power GTM workflows like research, enrichment, sequencing, lead scoring, routing, and personalization
Own the evolution of Apollo’s internal LLM platform for high-scale, low-latency, cost-optimized inference
Oversee model-driven experiences for natural-language interfaces, RAG pipelines, semantic search, personalized recommendations, and email intelligence
Partner with Product & Design to build intuitive conversational UX that hides underlying complexity while elevating user productivity
Implement rigorous evaluation frameworks, including offline benchmarking, human-in-the-loop review, and online A/B experimentation
Ensure robust observability, monitoring, and safety guardrails for all AI systems in production

What we offer

Equity
Company bonus or sales commissions/bonuses
401(k) plan
At least 10 paid holidays per year
Flex PTO
Parental leave
Employee assistance program and wellbeing benefits
Global travel coverage
Life/AD&D/STD/LTD insurance
FSA/HSA

Fulltime

Director of Machine Learning, ML Datasets Engineering

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

400000.00 - 490000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

8+ years of experience in machine learning and dataset engineering, focusing on large-scale, multimodal datasets
Experience leading data strategies and partnerships at a senior level
Expertise in data analysis, with practical experience in examining complex datasets
Knowledge of data cost management and optimization techniques
Understanding of current developments in dataset engineering and machine learning
Experience working with external data providers and managing large data projects
Ability to connect technical concepts with business strategies
Leadership skills to guide a team of data engineers and analysts
Communication skills to explain complex data concepts to various audiences

Job Responsibility

Establish and oversee data partnerships to obtain high-quality datasets for our AI models
Develop data strategies that support Runway's product and research objectives
Analyze our data ecosystem to find gaps and areas for improvement
Work with external partners on new data projects
Keep up with advances in dataset engineering and machine learning, applying new methods to our work
Participate in hands-on data analysis, guiding the team in data exploration and interpretation
Manage data costs and implement ways to optimize data usage and storage

Fulltime

Director SW Engineering (ML Engineering and Platform)

The Prisma AIRS team is building the future of AI security. With organizations b...

Location

United States , Santa Clara

Salary:

232000.00 - 320750.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS/MS in Computer Science, Engineering, or a related technical field
12+ years of professional software development experience, with a proven track record of building and shipping high-quality, large-scale, enterprise-grade cloud delivered services
Extensive professional experience with a deep focus on MLOps, ML systems, or productionizing machine learning models at scale
MLOps pipelines
Model governance/lifecycle
AI observability stack, Big Data infra (Kafka/Spark)
GenAI/LLM platform
IaC/GitOps
AI safety/governance
6+ years of formal engineering management experience, with experience leading multiple teams (managing managers is a plus)

Job Responsibility

Define and execute the technical strategy and roadmap for your area of ownership within the Prisma AIRS engineering organization, managing multiple teams and engineering managers
Build and lead a high-performing engineering organization. Excel at recruiting, mentoring, and retaining top-tier engineering talent and managers
Drive the architectural direction for a complex, highly scalable, cloud-native AI security platform within your domain. Make critical high-judgment decisions on technology, architecture, and long-term design
Partner seamlessly with senior leaders across Product Management, AI Research, UX, and other engineering leaders to deliver on a cohesive product roadmap
Clearly articulate technical vision, strategy, project status, and risks to senior stakeholders and executive leadership
Foster a results-oriented culture of innovation, execution, collaboration, and engineering excellence, empowering teams to solve challenging problems

Fulltime

Engineering Director, AI Solutions and Automation (ASA)-AI Product Acceleration

We are seeking a highly accomplished Engineering Director with extensive technic...

Location

United States , Bellevue, WA

Salary:

271000.00 - 347000.00 USD / Year

Director of Data

Data is core to what we do, from the ML systems that identify content opportunit...

Location

United States , New York City; San Francisco

Salary:

Not provided

AirOps

Expiration Date

Until further notice

Requirements

8+ years in data roles with 3+ years leading teams
Strong background in both data engineering and data science
Expert SQL and Python
hands-on with dbt, Airflow/Prefect, Snowflake/BigQuery
Track record building data products that directly impact business outcomes

Job Responsibility

Own end-to-end data platform: batch and streaming pipelines ingesting from crawlers, integration APIs (e.g. Google Search Console, Google Analytics, CDN Logs), product analytics, and CRM
Run the data warehouse with strong performance, cost management, and observability
Implement orchestration, dbt transformations, data contracts, and automated testing
Build ML systems that analyze AI search behavior, identify content opportunities, and predict performance
Take models from research to production, optimizing for latency and cost at scale
Deliver metrics that power dashboards, experiments, and customer-facing analytics
Partner with Product and GTM teams on tracking plans and impact measurement
Build and lead the data team: hire, mentor, and level up engineers and scientists
Drive cross-functional projects and translate business requirements into technical solutions

What we offer

Equity in a fast-growing startup
Competitive benefits package tailored to your location
Flexible time off policy
Parental Leave
A fun-loving and (just a bit) nerdy team that loves to move fast!

Fulltime

Lead Director, AI/ML & Data Engineering

CVS Health is hiring a Lead Director, AI/ML & Data Engineering to build and scal...

Location

United States , Work at Home

Salary:

144200.00 - 288400.00 USD / Year

CVS Health

Expiration Date

June 30, 2026

Requirements

10+ years of experience in software and/or data engineering, including large‑scale platform delivery
5+ years leading managers and cross‑functional teams
Deep expertise in full‑stack and platform engineering in large‑scale, multi‑cloud environments
Advanced data engineering experience, including batch and streaming processing, data quality, metadata/lineage, and platform‑scale storage and query patterns
8+ years building and operating Data Engineering, AI Engineering, DevOps, and MLOps capabilities supporting multiple product teams and mission‑critical workloads
Expert‑level knowledge of DevSecOps, MLOps, LLMOps, and GenAIOps operating models, tooling, and control planes (e.g., model registries, pipeline orchestration, deployment, monitoring)
Extensive experience with secure cloud and hybrid platforms, Kubernetes, infrastructure‑as‑code, and enterprise identity and access management
5+ years of experience operating in regulated environments with strong security, privacy, and audit requirements
Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)

Job Responsibility

Build and scale enterprise data ingestion, transformation, and quality frameworks to support AI/ML use cases across IT operations, security, and business functions
Deliver reusable datasets, feature pipelines, and data products with strong metadata, lineage, privacy, and compliance controls
Partner with enterprise data, governance, and security teams to align stewardship models, data access patterns, and PHI/PII protections
Define and maintain data engineering standards, reference architectures, and operational playbooks
Translate enterprise AI needs into scalable platform capabilities and reusable components (e.g., RAG frameworks, vector search services, evaluation harnesses, prompt libraries, reusable agents, model registries, and monitoring dashboards)
Lead and mature DevSecOps practices for AI/ML, embedding security, automation, and compliance across the AI lifecycle
Drive cross‑functional alignment across security, infrastructure, architecture, and application teams to accelerate adoption and reduce duplication
Conduct technology assessments and proofs of concept to evaluate models, cloud services, and technical approaches
Establish and operate enterprise MLOps, LLMOps, and GenAIOps platforms, including CI/CD for models and prompts, deployment automation, observability, and lifecycle governance
Own platform reliability and performance for model serving and AI application runtimes, including SLIs/SLOs, capacity planning, and on‑call readiness

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
Bonus, commission or short-term incentive program
Equity award program

Fulltime

Solution director data and ai

As a Technical Solution Director in our Clubs, you’ll shape and drive the growth...

Location

United Kingdom , Manchester

Salary:

Not provided

AND Digital

Expiration Date

Until further notice

Requirements

Deep expertise across data platforms, AI/ML, cloud architectures, and analytics
Strategic mindset – able to connect technology to business vision
Strong problem-solving and design thinking skills
Exceptional communication – from boardroom to engineering team
Influential leadership without formal authority
Commercial awareness and a growth mindset
Curiosity, adaptability, and commitment to continuous learning

Job Responsibility

Lead our propositions and Practice IP
Engage with clients
Shape solutions
Drive growth
Lead and inspire

What we offer

25 days holiday allowance + bank holidays
Flexible bank holidays
Share scheme
A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
Private medical insurance
6% employer pension contribution, when you contribute 2%

Fulltime

Select Country

Director of Data, ML & AI Engineering

Job Description

Job Responsibility

Requirements

Looking for more opportunities?