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Research Scientist (Healthcare/Pharma)
London
£400 - £450
+ Data Science & AI
ContractLondon
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Senior Research Scientist – Health Tech (3-Month Contract)
Day rate = £450/day
Location: Remote – UK Based
Contract Duration: 3 months, with the possibility of extension.
Role Overview:
Lead the analysis of large-scale survey data from Nigeria, Senegal, and Ivory Coast to support health initiatives. Provide data-driven insights and recommendations aligned with project goals.
We are hiring a Senior Research Scientist for a 3-month contract to lead data-driven projects in women’s health and family planning across developing countries. This role requires expertise in research, data science, and the ability to deliver actionable insights that inform policy and decision-making.
Essential Skills & Qualifications:
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Education:
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Ph.D. (or equivalent) and a master’s degree in a relevant field.
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Technical Skills:
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Expertise in R for statistical analysis and data manipulation.
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Experience with GitHub for version control.
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Strong knowledge of data processing and analytics pipelines.
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Industry Experience:
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Proven background in health tech, public health, or pharma.
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Demonstrated success in delivering research-driven insights and recommendations.
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Due to the specifics and nicheness of this role only candidates with relevant industry experience and proficiency in R and GitHub will be considered
Key Responsibilities:
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Data Analysis:
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Develop and manage data pipelines for large-scale survey data.
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Extract actionable insights to support strategic decision-making.
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Statistical Insights:
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Conduct causal analyses to identify trends in women’s health and family planning.
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Present clear, impactful findings to stakeholders.
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Collaboration:
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Work with cross-functional teams, including data scientists and consultants.
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Communicate insights effectively to stakeholders and funders.
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Preferred Qualifications:
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Experience with data projects in developing countries.
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Understanding of women’s health and family planning challenges.
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Proven ability to collaborate in multidisciplinary teams.
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Data Scientist
New York
$75 - $85
+ Data Science & AI
ContractNew York
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Data Scientist
Hybrid (NYC)
3-Month Contract
$75-85/hr
Role Overview
We are partnered with wealth management firm that specializes in delivering tailored wealth management, financial planning, and investment services to high-net-worth individuals, families, and businesses. The firm focuses on providing comprehensive solutions to help clients manage and grow their wealth, plan for retirement, and navigate complex financial situations.
Responsibilities
- Partner with Product, Engineering, and/or Design to enable clear, impactful, actionable, and innovative insights that shape key decisions.
- Conduct rigorous, high-quality analyses that shape the way they think about the future.
- Define and evaluate key metrics and understand their levers.
- Leverage clear communication skills, with an aptitude for translating analysis results into compelling and comprehensible concrete recommendations for the business.
- Adapt to a rapid changing environment and be proactively inquisitive to identify new areas of opportunity for Data Science.
- Have an eye for scale and identify ways in which your work can have broader impact.
- Have a strong sense of responsibility and integrity and can balance both short-term and long term objectives.
Qualifications
- 3+ years of experience in Data Science & Analytics (prior experience in a start-up, fintech, or social media companies in a product/go-to-market capacity is a plus).
- SQL – you should be fluent with UDFs, joins, aggregation functions, and window functions to build complex queries for analyses.
- Prior experience with Python/R.
- Experience with visualization tools like Tableau, Looker, Amplitude
- Experience with ETL frameworks like Airflow & Stitch.
- Advanced degree in a quantitative field or equivalent experience in one or more of the following: Mathematics, Statistics, Economics, Computer Science, Machine Learning, Data Science, Engineering, etc.
- Strong knowledge of Statistics, Experiments (e.g. A/B Testing), Hypothesis testing, Machine Learning, and other Analytics approaches.
- Bonus:
- Technical chops w/ Git, Terminal, CLI, etc.
- Experience in: Causal Inference, Experiments + Variance Reduction (e.g. Delta Method, Post Stratification, CUPED), Machine Learning (Regression, Classification, Clustering, SVD/PCA, etc.), & Behavioral Econ.
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Junior Data Scientist
City of London
£150 - £200
+ Data Science & AI
ContractCity of London, London
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The Role
As a Junior Data Scientist, you will play a crucial role in designing and implementing linear regression models, cleansing and organising data, and constructing robust pipelines. This is an excellent opportunity to work with modern technology and collaborate with experienced professionals.
Key Responsibilities
- Build and organise linear regression models using Python.
- Collect, cleanse, and organise KPIs from various business sources.
- Develop and maintain robust scripts and pipelines for data analysis.
- Create visualisation in Tableau and Python for reporting purposes.
- Work with AWS and Docker frameworks to deploy and manage models.
- Leverage advanced statistical knowledge to deliver accurate predictive insights.
Requirements
Must-Have Skills:
- Strong proficiency in Python, including libraries such as Pandas and NumPy.
- Solid statistical knowledge and ability to apply it effectively.
- Experience with SQL and Excel for data manipulation and analysis.
- Familiarity with software tools like web scrapers and robust scripting techniques.
Preferred Skills:
- Commercial experience in data science projects.
- Knowledge of AWS and Docker frameworks.
- Experience with data visualisation tools like Tableau.
- A degree in Mathematics, Computer Science, or a related field.
Benefits:
- Flexibility to work part-time (minimum 24 hours/week) or full-time.
- Opportunity to work fully remotely.
- Be part of a small, supportive team where your contributions will have a direct impact.
- A chance to transition to a permanent role within a growing company.
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Senior Research Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
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Senior Machine Learning Research Engineer – LLMs
New York, New York
$180,000-$200,000 base salary + equity + benefits
Harnham is partnered with an AI fintech startup in the New York City area. They are looking for an experienced Research Engineer with a background in building production-ready LLMs. This person will sit on their engineering team and partner with stakeholders across the business.
If you are ready to work with one of the most innovative teams in the world on cutting-edge LLMs and RAG-based problems, this could be the job for you. You will need to work fast and break things, while also delivering some of the most novel concepts in new technologies.
THE ROLE
- You will build novel machine learning and LLM models to support new and existing platforms in finance
- You will report directly to the VP of Engineering and work closely on technical direction
- Own development of new PoCs and work MLE team to put them into production, using millions of pages of data per project
- You will implement and design code and build out to production using various machine learning and LLM techniques
- Potential to grow into a thought leader role for LLMs within the business
YOUR SKILLS AND EXPERIENCE
The successful Research Engineer will likely have the following skills and experience:
- Experience building production-ready machine learning models
- Experience working in a startup preferred
- Fluent in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets preferred
- Cloud experience in AWS preferred
- History of working on models from concept (research) to production / end-to-end
- Familiarity with advanced machine learning approaches relating to large language models / LLMs
- Experience in settings wearing multiple hats
- History of partnering with non-technical stakeholders a plus
- BS or MS degree in Computer Science, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $180,000-$200,000 + equity + benefits
HOW TO APPLY
Please register your interest by sending your resume to Virginia Brooks via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Research | Production | Startup | AI | Artificial Intelligence | Fintech | AWS | Python
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Machine Learning Engineer
New York
$190000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Are you looking to play a key role in a fast-growing FinTech startup? To build a cutting-edge platform from the ground up? To work in the bustling heart of Manhattan, New York? This ML role is for you!
THE COMPANY
This startup is on track to be a groundbreaker in the financial technology space. With a recent Series A fundraise in the bank, their team is looking for a Machine Learning Operations Engineer to assist in building out their innovative AI-powered accounting platform, to design their infrastructure from start to finish, and to serve as a founding member of their lightweight, streamlined team.
THE ROLE
The MLOps engineer will play a fundamental role on this 14-person team and will be responsible for building and maintaining an AI platform with data accuracy as a crucial cornerstone.
In this role, you will be responsible for:
- Building a major data infrastructure platform from the ground up, working primarily in Python.
- Maintaining platform reliability over time.
- Developing and maintaining crucial, fail-resistant data pipelines.
- Organizing, scaling, and maintaining many data models that operate in tandem.
WHO YOU ARE
- You come from a Machine Learning background, with an emphasis on infrastructure engineering projects.
- You have experience (and interest) in accounting and financial data infrastructure.
- You are familiar with the process of growing a startup through multiple rounds of funding.
- You are highly proficient in Python.
- You have completed a major data infrastructure project from start to finish.
- You are comfortable working in a busy, pioneering environment.
BENEFITS
- An annual salary of $190,000 – 220,000 depending on experience
- Above-market-standard compensation, benefits, and equity package.
- 401k, health, vision, and dental insurance
- The ability to make a direct impact on a quickly growing organization.
HOW TO APPLY
Please register your interest by sending your CV to Jack Wolf via the application link on this page.
To Apply for this Job Click Here
Senior ML Engineer
New York
$180000 - $200000
+ Data Science & AI
PermanentNew York
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Senior Machine Learning Engineer – LLMs
New York, New York
$180,000-$200,000 base salary + equity + benefits
Harnham is partnered with an AI fintech startup in the New York City area, seeking a skilled Machine Learning Engineer with expertise in building production-ready LLMs. This role sits at the core of the engineering team, where you will directly contribute to the development and deployment of cutting-edge ML models at scale.
If you’re ready to work on impactful solutions using state-of-the-art technologies, this could be the perfect opportunity. You’ll be tasked with implementing innovative ML systems in a fast-paced environment, collaborating across teams to deliver production-ready results.
THE ROLE
- Develop and deploy machine learning and LLM models to enhance platforms in finance.
- Collaborate with the VP of Engineering on technical strategy and execution.
- Drive the development and scaling of ML pipelines, working with millions of data points per project.
- Design and implement code to bring machine learning solutions into production.
- Partner with cross-functional teams to ensure models meet business needs and technical standards.
YOUR SKILLS AND EXPERIENCE
The ideal Machine Learning Engineer will bring:
- Proven experience deploying machine learning models into production.
- Strong Python skills (TensorFlow, PyTorch) for scalable, production-grade development.
- Hands-on experience with cloud platforms, preferably AWS.
- A history of working with large datasets and scalable ML pipelines.
- Practical knowledge of LLMs and advanced ML techniques.
- Strong problem-solving skills and the ability to adapt in a fast-moving environment.
- Prior experience in startups or similar environments is a plus.
- A BS or MS in Computer Science, Engineering, or a related field.
THE BENEFITS
- Competitive base salary of $180,000-$200,000.
- Equity and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your resume to Virginia Brooks via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Production | Fintech | AI | Python | AWS | ML Engineering | Scalable Systems
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Staff Machine Learning Engineer
New York City
$170000 - $200000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
My client is at the forefront of radio spectrum and wireless signal analysis. With a focus on leveraging cutting-edge machine learning techniques, this company is dedicated to developing low-cost sensors and innovative solutions to interpret complex signal data. They offer an inclusive and dynamic work environment where every team member plays a vital role in driving forward technological innovation The team is looking for an extremely talented Machine Learning Engineer to join the founding team who enjoys working on the development of Machine Learning models.
The role itself is about applying knowledge of embedded systems and signal processing to deploy ML solutions into constrained environments. This person will play a huge role in contributing to the creation of fresh data sets and experimental designs to support model training and validation.
The role is fully in-person in Manhattan and has an extremely competitive equity package. The cool part… this is one of the most important hires at the organization and this person will work alongside the cofounders every day!
THE ROLE
- Contribute to the creation of fresh data sets and experimental designs to support model training and validation
- Apply knowledge of embedded systems and signal processing to deploy ML solutions into constrained environments.
- Participate in quarterly deliverables and key company events, ensuring timely progress toward company objectives
- Collaborate closely with team members and founders in an inclusive and dynamic work environment, fostering open communication and idea exchange
- Worth with radio signal processing data and embedded systems
YOUR SKILLS AND EXPERIENCE
Requirements
- Experience in applied machine learning, embedded spectrum systems, and signal processing preferred
- Expertise in spectral data analysis, experimental design, and cloud computing for cost optimization
- Proficient in Nvidia, TensorRT, and Cuda technologies
- Previous experience in a start-up environment – the ability to work in a fast-paced environment
- History of research in machine learning topics
- Degree in Mathematics, Statistics, Computer Science or other STEM-related field
- Comfortable working on defense industry projects
THE BENEFITS
A competitive base salary of $175,000-$200,000 will be offered + Equity + Benefits
To Apply for this Job Click Here
Machine Learning Engineer
New York
$200000 - $220000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
THE COMPANY
Our client is a leader in signals intelligence innovation, leveraging cutting-edge machine learning and signal processing technologies. They offer a collaborative environment that encourages professional growth and rewards creativity.
THE JOB
As a Machine Learning Engineer, you will design and deploy real-time, edge-optimized algorithms that drive product evolution. Collaborating with leadership and multidisciplinary teams, you’ll transform research into actionable solutions.
WHAT YOU’LL DO
- Develop and optimize machine learning models for edge applications.
- Integrate machine learning models with embedded systems.
- Stay current with advancements in machine learning and signal processing.
- Mentor junior team members.
WHO YOU ARE
- Experience in applied research settings.
- Proficiency in machine learning, signal processing, Python, and PyTorch.
- Familiarity with Linux OS and edge computing.
- Eligibility for United States Security Clearance.
WHAT YOU’LL GET
- Competitive salary, equity, and benefits package.
- Health, dental, and vision coverage.
- 401(k) match and unlimited PTO.
- Daily office-provided lunches in NYC.
- Professional growth opportunities.
HOW TO APPLY
Register your interest by reaching out to Jack Wolf or by applying directly through the application link!
To Apply for this Job Click Here
Health Data Scientist
Leeds
£50000 - £80000
+ Data Science & AI
PermanentLeeds, West Yorkshire
To Apply for this Job Click Here
Health Senior Data Scientist
Remote
IMMEDIATE START DATE
We are working with a health care company looking to add a Senior Data Scientist to their team to work on a modern contraception project across Western Africa. The data will look into drivers and barriers of people using contraception in these areas and will require a senior data scientist to analyse the data and create actionable models from the findings.
Requirements:
- Strong R experience
- Regression, Segmentation and Causal Modeling experience
- Experience working with large, unstructured data sets
- Experience working with health data
- PhD
To Apply for this Job Click Here
Machine Learning Engineer
New York
$170000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Machine Learning Engineer
Cutting-edge AI for Signal Analysis
Location: New York City
Compensation: $170,000-$210,000 + Equity, Health & Retirement Benefits
This is an opportunity to be part of a team that’s using machine learning to make sense of complex signals and enhance safety. If you’re excited by the idea of solving tough problems with immediate, real-world applications, we’d love to hear from you!
About the Company:
Our client is an innovative technology company focused on revolutionizing the understanding of radio spectrum and wireless signals, they are building affordable hardware and leveraging advanced AI systems to identify threats in the environment. Their solutions are capable of detecting signals others can’t, providing critical alerts for safety and defense-related sectors. With a growing presence in both commercial and government defense industries, the mission is to develop AI-driven systems that replace million-dollar legacy systems with more efficient, low-cost alternatives.
The Role:
We are seeking a talented Machine Learning Engineer to join our client’s close-knit team and play a pivotal role in the development of cutting-edge solutions. You will work on applied research to design and implement machine learning models that will advance signal analysis capabilities. The ideal candidate will thrive in a fast-paced environment, work independently, and bring their expertise to the development of machine learning models from the ground up, taking into account the unique constraints of radio frequency (RF) data.
Key Responsibilities:
- Develop and implement machine learning models focused on RF signal processing and analysis.
- Research to improve system performance, tackle novel problems, and optimize algorithms for real-time, critical environments.
- Collaborate with cross-functional teams to deploy AI-driven solutions for defense and safety applications.
- Work on various models and isolated system components to enhance overall product performance.
- Take ownership of defining problems, conducting research, and delivering solutions that meet the company’s needs.
Your skills and experience:
- Proven years of machine learning experience, with a strong background in applied research and model implementation.
- Proven ability to work in a dynamic environment with shifting priorities, and the flexibility to work on various aspects of the product.
- Experience with time-series data, sensor data, or deep learning techniques is a plus.
- Prior work with RF, signal processing, or similar fields is a nice-to-have, but not mandatory.
- Familiarity with cloud computing, deployment, and optimization for cost efficiency.
- Strong problem-solving abilities and creativity in applying machine learning to real-world challenges.
- Ability to work independently and take initiative to drive solutions to completion.
Compensation:
- Base salary range: $170,000 – $210,000, based on experience.
- Equity and a comprehensive benefits package
How to Apply:
If you are a creative problem-solver with a passion for machine learning and cutting-edge technology, send your resume to Virginia using the apply link on this page.
Keywords:
machine learning | artificial intelligence | signal processing | RF data | radio frequency | time-series data | embedded systems | applied research | deep learning | spectral analysis | algorithm development | cloud computing | sensor data | real-time systems | data modeling | distributed systems | innovative technology |
To Apply for this Job Click Here
Generative AI Engineer
New York
$190000 - $210000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Generative AI Engineer
Gaming Industry
$190,000-$210,000 base salary
Fully Remote
About the Company
A globally recognized gaming company operating at the intersection of creativity and technology seeks a Generative AI Engineer to join its team. Focusing on developing both physical and online casino games for the online gambling industry, this company is an innovator in leveraging advanced AI to enhance player experiences and drive engagement.
The Role
This pivotal role offers the chance to shape the company’s approach to using Generative AI for player engagement and retention. As the first dedicated specialist in this domain, you will create models that analyze player behavior and generate personalized video and text incentives to improve user retention and engagement on the mobile platform.
Key challenges this role will address:
- Player Retention: Identifying key factors leading to user engagement.
- Predictive Modeling: Predicting how changes to game elements might influence user behavior.
- Content Personalization: Generating engaging content (images, videos, or text) to encourage continued player interaction.
Responsibilities
- Develop and optimize Generative AI models for creating video, image, and text content based on player data.
- Design and implement models for: recommendation systems, classification and object detection, and image segmentation and image classification
- Leverage historic data to generate new and engaging content.
- Utilize tools and frameworks like Python, TensorFlow, and PyTorch to build scalable AI solutions.
- Implement advanced techniques such as RNNs, CNNs, and GPU-based programming using CUDA.
- Design systems for parallel programming to enable efficient content generation pipelines.
- Collaborate with cross-functional teams to align AI initiatives with business goals.
Your Skills & Experience
- Strong foundation in AI/Machine Learning with a focus on Generative AI.
- Hands-on experience working with diverse data types, including images, videos, and text.
- Skilled in recommendation models, classification tasks, and object detection modeling.
- Proficient in parallel programming and GPU optimization.
- Previous work in Computer Vision and applied research is a plus.
Why Join?
- Take on a pioneering role with a significant impact on business outcomes.
- Work in a fully remote, flexible environment.
- Collaborate with top talent in the gaming and AI industries.
- Be part of a globally diverse and innovative team.
How to Apply
If you’re experienced in Generative AI and eager to make a mark in the gaming industry, this is your chance to lead the way in leveraging AI to redefine player engagement. Send your application to Virginia via the apply link on this page.
Keywords
Python | TensorFlow | PyTorch | Generative AI | Machine Learning | AI | Computer Vision | Recommendation Systems | Classification Models | Object Detection | Image Segmentation | Image Classification | RNN | CNN | CUDA | GPU Optimization | Parallel Programming | Video Generation | Text Content Personalization | Image Processing | Gaming Industry | Player Retention Models | Predictive Modeling | Content Personalization
To Apply for this Job Click Here
Robotics Testing Engineer
Bristol
£30000 - £40000
+ Data Science & AI
PermanentBristol
To Apply for this Job Click Here
Robotics Testing Engineer
Up to £40,000
Bristol (Fully Onsite)
About the Role
This opportunity involves joining a dynamic team of Product Engineers testing a variety of autonomous vehicles, drones and other Engineering based Products.
Key Responsibilities
- Working closely within a small team, to test and optimise software on hardware products
- Directly collaborating on projects across SLAM, LiDAR, Computer Vision, Sensors and Cameras
- Driving the latest innovative testing in a high quality indoor/outdoor testing lab
- Working closely with a Senior and Lead in the team
- Feedback ideas and improvements on product evaluation itself
What We’re Looking For
- MSc or PhD in Engineering based subject
- Proficiency in ROS, ROS2, and then experience across SLAM, Computer Vision, LiDAR, Sensors
- Background in Robotics or Hardware Testing is beneficial
- Excellent communication skills with proven experience working with stakeholders
- Experience in a lab testing environment is greatly beneficial
How to Apply
Please register your interest by sending your CV to Emily Burgess via the Apply link on this page.
To Apply for this Job Click Here
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