Leeds / £120000 - £160000 annum
INFO
SALARY:
£120000 - £160000
LOCATION
Leeds
Permanent
Director of Streaming Product & Growth
Leeds - Hybrid (3 days a week in the office)
Up to £160,000 + performance bonus
This is an exceptional chance to shape the future of a major digital streaming platform at a critical stage of its development. You'll take full ownership of a rapidly scaling subscription product-driving commercial performance, leading digital transformation, and influencing strategic direction across the organisation.
The Role
As Director of Streaming Product & Growth, you will serve as the commercial lead for the digital subscription offering. Your responsibilities will include:
Your Skills & Experience
What's On Offer
How to Apply
If you would like to register your interest, apply below or send your CV
CONTACT
Senior Recruitment Consultant
SIMILARLondon
£80000 - £85000
+ Advanced Analytics & Marketing Insights
PermanentLondon
Analytics Engineer
London, Hybrid (2 days in office) | Up to £85,000
No sponsorship available now or in the future.
This is an opportunity to join a high growth, product led business where data sits at the centre of decision making. You will play a key role in shaping scalable data models and powering insight across the organisation, directly influencing how products are built and improved.
The Company
They are a fast growing digital platform operating within the financial services space, supporting a large and expanding customer base across the UK. The business is mission driven, focused on helping people make smarter long term decisions, with data deeply embedded in their strategy. Their environment is collaborative, inclusive, and focused on continuous improvement, with strong investment in modern data tooling and practices.
The Role
As an Analytics Engineer, you will bridge the gap between data engineering and analytics by creating reliable, analysis ready datasets and scalable data models. You will work closely with analysts and stakeholders to enable high quality insights across the business.
Your Skills and Experience
What They Offer
Please note that candidates must be based in the UK. Sponsorship is not available for this position.
How to Apply
If you are interested in applying your analytics engineering expertise in a growing, impact driven environment, please apply with your CV.
New York
$200000 - $400000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click HereMember of Technical Staff – ML and Applied AI
New York City, Onsite Five Days per Week
Base Salary 200,000 to 300,000 USD plus equity
This is an exceptional opportunity to join a high‑growth AI organisation building cutting‑edge multi‑agent systems used in real production environments. You will help shape intelligent products from the ground up, driving innovation, system design, and real‑world impact at scale.
The Company
They are a rapidly scaling AI business developing advanced agentic technology tailored to complex, data‑heavy professional workflows. After securing significant venture investment, they are expanding their technical teams to meet growing customer demand. With strong traction, an ambitious roadmap, and a culture that values experimentation, rigour, and autonomy, they offer a rare chance to join during a pivotal expansion phase. Their teams operate onsite in a collaborative environment designed for fast learning, sharp iteration cycles, and high ownership.
The Role
You will contribute as a core individual contributor focused on ML engineering, applied AI systems, and multi‑agent intelligence. Your work will directly shape how their agents reason, plan, and operate safely in production. Responsibilities include:
* Designing and iterating multi‑agent architectures that automate real operational workflows.
* Engineering robust human‑to‑ML interaction and creating scalable evaluation frameworks.
* Developing context, memory, retrieval, and orchestration systems that enhance model reasoning.
* Building experimentation pipelines that run extensive offline and online tests.
* Partnering closely with product, platform, and domain experts to ship high‑impact features.
* Owning end‑to‑end delivery of production‑level systems with clear instrumentation and measurable outcomes.
Your Skills and Experience
* Strong commercial experience in ML engineering, applied AI, or ML‑driven product development.
* Hands‑on experience deploying and iterating on complex AI or multi‑agent frameworks in production.
* Skilled in Python and confident working with large‑scale, real‑time or high‑volume data environments.
* Ability to design experiments, evaluate models, and optimise for accuracy, cost, and latency.
* Comfortable working in fast‑paced, high‑ownership environments where clarity, autonomy, and problem solving are essential.
* Academic background in Computer Science, Machine Learning, Mathematics, or related scientific fields.
What They Offer
* Base salary between 200,000 and 300,000 USD plus equity.
* Opportunity to work on cutting‑edge agentic AI challenges with significant ownership.
* Career progression in a rapidly growing organisation with substantial technical influence.
* Highly collaborative onsite environment with access to founders and senior technical leadership.
How to Apply
If you are excited by impactful ML engineering and want to help shape next‑generation AI systems, please send your application today.
$180000 - $220000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click HereLocation: Fully Remote (Hybrid option in NYC)
Compensation: $190,000-$200,000 + Equity
Type: Full-Time
About the Company
We are partnering with a fast-growing, profitable SaaS company that is redefining programmatic advertising through AI-driven solutions. Their platform empowers brands to deploy custom algorithms across major DSPs (The Trade Desk, DV360, Meta, YouTube), enabling smarter, real-time ad-buying decisions. Backed by leading industry investors, this company is building ML infrastructure and solving problems that don’t have off-the-shelf solutions.
Why Join?
As a Senior Machine Learning Engineer, you’ll own the ML lifecycle end-to-end, focusing on productionization and robust MLOps practices. You’ll work closely with data science and engineering teams to deploy models at scale and build automation for training, inference, and observability.
Key Responsibilities
Nice-to-Have Skills
Interested?
Apply now to join a team building brand-new solutions in ad-tech and work with technologies like PyTorch, Ray, Databricks, and MLflow.
New York
$180000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click HereSenior Machine Learning Engineer – GenAI / Agentic AI
Location: United States (Hybrid)
$180,000 – £250,000 base salary + Bonus, RSUs
I am working with a world-leading global brand in financial services and technology, known for shaping markets and setting the standard for innovation for over a century. This firm operates at the highest levels of global finance and is investing heavily in advanced Machine Learning and Artificial Intelligence to transform how large-scale, mission-critical systems are managed.
The Team
You would join an elite ML/AI group within their enterprise technology division. This team applies cutting-edge ML and Generative AI to orchestrate intelligent agents that improve resilience, reduce operational risk, and drive efficiency across one of the most complex infrastructures in the industry. By combining classical ML with agentic AI, they are redefining production management at global scale.
The Role
As a Senior Machine Learning Engineer, you will design and deploy AI-driven agents capable of reasoning, diagnosing, and acting in production environments. This includes:
Building tool-using AI agents with safety and compliance guardrails
Productionizing LLMs with retrieval pipelines, evaluation frameworks, and response validation
Integrating agentic AI into observability, deployment, and incident management systems
Optimizing scale, cost, and performance of AI systems under real-world load
Partnering with global engineering teams to deliver measurable business impact
What They’re Looking For
7+ years’ experience in ML engineering or applied data science
Expertise in Python (plus C++, Go, or Java)
Track record of deploying ML systems at scale
Hands-on experience with LLMs (prompt engineering, fine-tuning, RAG, tool-calling)
Cloud-native engineering (AWS preferred) and strong software design fundamentals
Why Apply
This is a rare chance to join one of the world’s most prestigious brands, working at the forefront of AI innovation with unmatched resources, scale, and career development opportunities.
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
Use our AI to tailor your resume for this DIRECTOR OF STREAMING PRODUCT & GROWTH position at Harnham.