To Apply for this Job Click Here

Machine Learning Scientist

Remote (USA only)

About the Role

A frontier AI-driven bio-tech company is hiring a Machine Learning Scientist to help develop next-generation foundation models at the intersection of AI and biology.

This is an individual contributor role for a researcher who enjoys taking ideas from concept to experimentation, working on challenging problems, and collaborating with a highly technical team.

Responsibilities

• Design, train, and evaluate state-of-the-art machine learning and foundation models.
• Rapidly prototype and test new research ideas.
• Develop benchmark tasks and evaluation frameworks.
• Collaborate closely with researchers, scientists, and engineers.
• Contribute to publications and technical presentations.

Ideal Background

• PhD in Computer Science, Machine Learning, AI, Physics, Mathematics, Computational Neuroscience, or a related quantitative field.
• Strong publication record at leading conferences such as NeurIPS, ICML, ICLR, CVPR, or equivalent venues.
• Experience building models in PyTorch and conducting original machine learning research.
• Background in foundation models, LLMs, computer vision, multimodal learning, generative AI, robotics, or scientific machine learning.

Biology experience is a plus but not required. Exceptional researchers from computer vision, language modeling, robotics, autonomous driving, and other highly quantitative fields are encouraged to apply.

Why Join?

• Work on cutting-edge machine learning research with real-world impact.
• Collaborate with world-class researchers and scientists.
• Help shape the future of AI-driven scientific discovery.

To Apply for this Job Click Here

To Apply for this Job Click Here

PRINCIPAL SOFTWARE ENGINEER

BAY AREA, CA (3 DAYS IN OFFICE)

$280,000 – $350,000+ (BASE + EQUITY)

An exciting opportunity for a hands-on Senior Software Engineer to join a lean, profitable platform connecting creators through video.

THE COMPANY

A profitable, early-stage tech company with a small Bay Area-based team. The product already reaches a significant audience and focuses on high-impact, user-generated video content.

THE ROLE

Hands-on engineering and AI work across the platform:

• Build agentic GenAI workflows using internal datasets
• Develop marketing and growth systems: email delivery, personalization, engagement tracking
• Create commercial AI models to understand user behavior and engagement
• Collaborate across product and engineering teams
• End-to-end coding, system design, and customer validation

YOUR SKILLS & EXPERIENCE

• Backend: Python, Django or Flask or FastAPI
• Frontend: React
• Cloud/Infrastructure: AWS
• Databases: PostgreSQL
• AI/ML: OpenAI; knowledge of agent systems helpful
• Experience with large-scale data and knowledge systems is a plus
• Comfortable working in a lean, high-ownership environment

HOW TO APPLY

Please register your interest by sending your resume to Calum Reid via the apply link on this page.

To Apply for this Job Click Here

To Apply for this Job Click Here

Forward Deployed Engineer

San Francisco, CA (Hybrid)

A high-growth AI company is hiring Forward Deployed Engineers to work directly with enterprise customers on rapidly building and deploying AI-driven solutions.

This is a highly product-oriented engineering role focused on solving real customer problems quickly. The team is looking for engineers who thrive in fast-paced environments, enjoy working closely with customers, and can rapidly prototype and ship solutions using modern AI tooling.

What You’ll Be Doing

• Partner with customers to understand workflows and business challenges.
• Rapidly build MVPs and proof-of-concepts.
• Work cross-functionally with engineering and product teams.
• Help shape and productionize successful customer solutions.

What They’re Looking For

• Strong product sense and customer empathy.
• Ability to operate independently and move quickly.
• Engineers who are resourceful, curious, and highly execution-oriented.
• Experience in startup or high-growth environments.

To Apply for this Job Click Here

To Apply for this Job Click Here

Vice President, AI / Machine Learning Engineering

We’re partnering with a highly regarded AI team building products used by hundreds of thousands of users every day.

This is not a research role. They’re looking for engineers who can take an idea on Thursday and have a production-ready solution in users’ hands by Monday.

The team is building AI-powered products across:

• Enterprise chatbots and conversational AI
• Agent frameworks and workflow automation
• Text-to-code applications
• Natural language interfaces for databases
• Internal AI productivity tools at massive scale

They’re looking for engineers with:

• Strong AI/ML engineering experience
• Deep understanding of LLMs and foundation models
• Experience building applications with LLM APIs
• AWS, Kubernetes and distributed systems experience
• Strong software engineering and system design fundamentals
• The ability to operate autonomously and deliver end-to-end solutions

Ideal candidates are full-stack ML engineers who can prototype, build, deploy and scale products independently. A background in NLP, Computer Vision or advanced AI research is highly valued, but the ability to ship production systems is what matters most.

Why Join?

• Build AI products used by hundreds of thousands of users globally
• Work on some of the most visible AI initiatives within the organization
• Operate with significant autonomy and ownership
• Partner directly with senior leadership on high-priority initiatives
• See your work deployed at scale and delivering measurable impact from day one
• Join a team of exceptional engineers focused on turning cutting-edge AI into production-ready products

To Apply for this Job Click Here

To Apply for this Job Click Here

Senior Machine Learning Engineer (Applied ML)

About the Company

Our client is a high-scale consumer technology company leveraging machine learning, advanced analytics, and large-scale data systems to optimize user experiences and drive meaningful business impact. Their products reach millions of users globally, providing an opportunity to work on ML systems at significant scale.

The Role

They are hiring a Senior Machine Learning Engineer to own and improve production machine learning models that directly impact key business metrics. This is a highly applied ML role focused on model performance, experimentation, feature engineering, and continuous optimization-not ML infrastructure.

You’ll work with large-scale datasets to improve prediction, ranking, recommendation, and optimization systems, partnering closely with Product, Data, and Engineering teams to deliver measurable outcomes.

What They’re Looking For

• 5+ years of experience in Machine Learning Engineering, Applied ML, or Data Science
• Strong hands-on Python and SQL skills
• Experience building, deploying, and improving production ML models
• Experience working with large-scale datasets
• Strong understanding of feature engineering, model optimization, and experimentation
• Experience with recommendation systems, ranking, personalization, Ad Tech, search, marketplace optimization, or similar large-scale ML problems
• Ability to operate independently, take ownership, and drive technical decisions

Why Join?

• Work on high-impact ML systems serving millions of users
• Own and improve models that directly influence product performance and revenue
• Join a mature engineering environment with strong data infrastructure already in place
• Operate as a senior individual contributor with significant ownership and impact

Location

Remote within the following states: California, Washington, Texas, Arizona, Utah, Nevada, New Jersey, New York, and Oklahoma.

To Apply for this Job Click Here

To Apply for this Job Click Here

SENIOR FULL STACK SOFTWARE ENGINEER – BACKEND FOCUS

TEMPE, AZ (HYBRID)

$125,000 – $140,000 BASE + BONUS + BENEFITS

The Opportunity

We’re partnering with a large, well-established national organization to hire a Senior Software Engineer with strong AWS Serverless, Python, and React experience to help scale and modernize their cloud platform.

This role sits at the center of a fast-moving engineering team responsible for powering customer-facing applications (leasing, payments, maintenance) and internal systems. You’ll design and build scalable, serverless backend services in AWS while contributing to modern React-based front-end applications.

This is a hands-on senior IC role with strong ownership across cloud architecture and application development.

The Engineering Environment

The team operates in a high-velocity Agile environment focused on:

• AWS-first, serverless architecture (Lambda, S3, API Gateway)
• Cloud-native microservices
• Continuous integration and delivery
• Modern DevOps practices
• Ongoing platform modernization and legacy refactoring

What You’ll Be Working On

• Design and build serverless backend services using AWS Lambda, S3, and related AWS services
• Develop RESTful APIs and event-driven workflows in Python
• Build and enhance modern front-end applications using React / ReactJS
• Architect scalable, secure cloud-native solutions
• Optimize performance, reliability, and cost efficiency in AWS environments
• Participate in CI/CD pipelines and automated deployments
• Collaborate with product, QA, and cross-functional teams to ship high-quality releases

What We’re Looking For

• 6-8+ years of software engineering experience
• Strong hands-on experience with AWS Serverless (Lambda, S3, API Gateway)
• Proficiency in Python for backend development
• Experience building modern front-end applications with React / ReactJS
• Solid understanding of cloud-native architecture and distributed systems
• Experience working in Agile environments with CI/CD pipelines

Why This Role

• Opportunity to build and scale AWS serverless systems at national scale
• High ownership and architectural input as a senior engineer
• Strong cloud-native, modern engineering environment
• Stable, growth-oriented organization investing heavily in technology
• Competitive base + bonus structure
• Full benefits (medical, dental, vision, 401k match, PTO, holidays)

This is a high-impact engineering role focused on building scalable AWS serverless systems and modern React applications that power real-world customer and operational experiences at scale.

To Apply for this Job Click Here

To Apply for this Job Click Here

Sr. Fullstack Engineer

Location: New York, NY
Pay: $200k – $230k Base + Bonus

Overview:

An innovative, well-capitalised organisation in the real estate and supply chain infrastructure space is building a cutting-edge internal platform focused on predictive analytics and AI-driven decision-making. This product is transforming how large-scale investments and asset strategies are executed, with strong executive sponsorship and enterprise-wide visibility.
This is an opportunity to join a newly formed, product-oriented team operating like a start-up within a larger organisation, contributing to a live product already in active use and entering its next phase of growth.

Responsibilities:

• Build and scale production-ready full stack applications supporting a predictive analytics platform
• Partner closely with Product Managers and Designers to deliver high-quality user-focused features
• Develop and integrate AI/ML-driven workflows into core applications
• Contribute to architecture decisions and help evolve technical standards across the platform
• Collaborate with data and analytics teams to embed advanced modelling into user-facing tools
• Participate in discussions with senior stakeholders to align technical delivery with business objectives
• Ensure high standards of code quality, testing, and performance optimisation

Must Have Qualifications:

• Strong full stack engineering experience (frontend + backend development)
• Proficiency in Python (required), plus Node.js and modern frontend frameworks (React preferred; Vue or similar acceptable)
• Experience building production-grade applications with exposure to AI/ML-driven functionality
• Familiarity with cloud platforms (Azure, AWS, or equivalent)
• Product-focused mindset with ability to translate business requirements into technical solutions
• Strong communication skills with experience working cross-functionally with business stakeholders

To Apply for this Job Click Here

To Apply for this Job Click Here

Vice President, Data Engineering
Dallas, TX | $230K-$300K total compensation (includes bonus)

This is a high-impact leadership opportunity to shape enterprise-wide data platforms within a globally scaled, highly regulated environment. You will play a central role in standardising financial and risk data across divisions, combining hands-on engineering with strategic leadership in a true player-coach capacity.

The Company

Globally recognised financial services organisation operating at significant scale across investment banking, asset management and trading. Their centralised engineering function supports critical areas including finance, risk and compliance. The business is investing heavily in data platform convergence, governance and regulatory readiness, with a clear mandate to standardise and unify data across the organisation. This creates a unique opportunity to influence transformation at scale.

The Role

You will lead the design and delivery of modern data engineering platforms that enable consistent, governed financial data across multiple business units. Your responsibilities will include:

* Leading architecture and development of scalable data pipelines and platforms
* Driving data standardisation across finance, risk and treasury functions
* Improving data lineage, governance and regulatory reporting alignment
* Acting as a hands-on technical lead, including code reviews and system design
* Supporting the adoption of cloud-based data platforms using AWS and distributed processing tools

Your Skills & Experience

* Strong commercial experience in data engineering and backend systems
* Expertise in distributed data processing using Spark or similar technologies
* Experience with cloud platforms, particularly AWS and tools such as Databricks or Glue
* Proven capability in designing data models for financial or regulatory systems
* Strong system design and architecture skills
* Experience leading or mentoring engineering teams in complex environments
* Background in financial services or another highly regulated domain

What They Offer

* Competitive VP-level package with total compensation typically between $275K and $300K
* Bonus and equity as part of a comprehensive rewards structure
* Opportunity to lead large-scale data transformation across critical financial systems
* Clear progression within a global engineering organisation
* Exposure to senior stakeholders and high-impact regulatory initiatives

To Apply for this Job Click Here