ML DEPLOYMENT
TALENT SOLUTIONS
Our recruitment expertise is specifically tailored for Machine Learning Deployment jobs, recognizing the critical importance of these positions in the successful operationalization of machine learning models. We focus on sourcing professionals who are skilled in navigating the complexities of deploying ML models efficiently and effectively in production environments.
Leveraging our global presence, Harnham has access to a diverse and extensive machine learning and data talent pool, enabling us to find data candidates with the specific skill sets required for Machine learning Deployment jobs. Our local market insights across key regions ensure that we provide candidates who not only meet the technical qualifications but also align with your company’s cultural and operational dynamics.
WHY
HARNHAM?
Our deep-rooted experience in data recruitment positions us as the go-to authority in sourcing talent for ML Deployment roles, ensuring we connect you with candidates capable of transforming your machine learning initiatives into successful, scalable solutions.
We prioritize a deep understanding of your organization’s unique ML Deployment needs, enabling us to deliver precisely matched talent solutions, aligned with your specific technical and strategic requirements.
Harnham’s team of hundreds of recruitment specialists across key global locations brings unparalleled staffing solutions, tailored to the specific needs of your organization, irrespective of the industry.
OUR
SERVICES
- Permanent Recruitment: We identify long-term talent for your ML Deployment team, focusing on professionals who can integrate and grow with your organizational goals.
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- Contract Recruitment: Our contract recruitment services provide the agility to meet your immediate ML Deployment needs with highly skilled temporary professionals.
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- Customized Talent Consulting: We offer bespoke talent consulting services, including talent mapping, market analysis, and strategic workforce planning, to optimize your recruitment strategy and build a robust ML Deployment team.
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Contact us today to discover how our specialized services can help you build a high-performing ML Deployment team and drive your organization's success in the machine learning domain.
JOBS
LATEST mL deployment
JOBS
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Contract Data Scientist
London
£550 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Key Responsibilities:
- Deliver end-to-end data science solutions in a consultancy environment
- Build and deploy custom forecasting models (e.g., time series, XGBoost, deep learning)
- Implement reinforcement learning techniques for dynamic prediction
- Apply causal inference and graph AI methods to uncover complex relationships
- Develop and containerize models using Docker
- Work within modern CI/CD pipelines to streamline deployment
- Operate in a cloud environment (AWS preferred)
- Contribute to the development of a data-driven web application using JavaScript/TypeScript and Next.js
Required Skills & Experience:
- Strong experience as a Full Stack Data Scientist
- Deep expertise in time series forecasting and machine learning (XGBoost, deep learning, reinforcement learning)
- Practical knowledge of Causal AI and Graph AI methodologies
- Proficiency in Python for data science and model development
- Experience with Docker, CI/CD workflows, and AWS
- Comfortable working with JavaScript, Next.js, and ideally TypeScript
- Ability to thrive in a consulting or agency environment with changing client demands
- Strong ownership of delivery and adaptability to fast-moving projects
Desirable:
- Experience in retail analytics
- Prior work in cross-functional teams building web-based data products
- Exposure to start-up style or agile project settings
To Apply for this Job Click Here
Data Scientist – Time Series Forecasting
London
£500 - £600
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
DATA SCIENTIST – TIME SERIES FORECASTING
6-MONTH CONTRACT
£500-600 PER DAY (INSIDE IR35)
This is an exciting opportunity for a Data Scientist to lead the development of robust time series forecasting models for a major media organisation. You’ll take ownership of a fully scoped, delivery-focused project, working across daily, weekly, and monthly resolutions to forecast ad revenue, website traffic, and digital performance. The environment offers autonomy, technical depth, and the chance to make a measurable business impact from day one.
THE COMPANY
A leading name in the digital media space, this organisation is focused on leveraging data to drive growth and performance across its digital channels. With a modern cloud-based tech stack and a growing demand for predictive insights, they’re investing in scalable data science capabilities. Based in London, the team operates on a hybrid model with 2 days a week in their.
THE ROLE
As the lead Data Scientist on this project, you’ll be responsible for the end-to-end delivery of forecasting solutions, from model design to deployment. You’ll collaborate closely with stakeholders across marketing, commercial, and product teams to shape model inputs and outputs that are both business-relevant and technically sound.
Your responsibilities will include:
-
Building and deploying time series models for revenue, traffic, and ad performance
-
Operating across multiple temporal resolutions (daily, weekly, monthly)
-
Working with structured web analytics and revenue data in a cloud environment
-
Ensuring models are robust, explainable, and scalable for production use
-
Collaborating with cross-functional teams to understand needs and define targets
-
Managing delivery independently within a scoped project timeline
KEY SKILLS AND REQUIREMENTS
-
5+ years’ experience delivering commercial time series forecasting projects
-
Strong programming ability in Python (NumPy, Pandas, scikit-learn)
-
Solid SQL skills and experience working with large datasets
-
Experience deploying models into production environments (GCP preferred)
-
Strong communication skills and stakeholder collaboration experience
-
Ability to manage the full delivery lifecycle autonomously
TECH STACK
-
Python, SQL
-
GCP (BigQuery, Cloud Functions)
-
Docker, Kubernetes, Airflow
-
Git, CI/CD pipelines
-
Tableau (optional)
WHY APPLY
-
Lead a high-impact forecasting project for a major media brand
-
Work with a modern, cloud-first tech stack
-
Hybrid working:
-
£600/day (Inside IR35, up to £650 billing rate)
-
6-month initial contract
HOW TO APPLY
Please register your interest by sending your CV via the apply link on this page.
To Apply for this Job Click Here
Data Scientist – Time Series Forecasting
London
£600 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Data Scientist – Time Series Forecasting
Duration: 6 months
Rate: £600-700/day (Inside IR35)
Location: Hybrid – 1-2 days/week in Central London
We’re hiring a contract Data Scientist to lead the development of forecasting models for a major media organisation. The project is fully scoped and delivery-focused; you’ll be responsible for building daily, weekly, and monthly time series models to predict ad revenue, website traffic, and overall digital performance.
Key Responsibilities
-
Build and deploy time series forecasting models to predict traffic, ad performance, and revenue
-
Work across multiple temporal resolutions (daily, weekly, monthly)
-
Collaborate with stakeholders in product, marketing, and commercial teams to define inputs and targets
-
Work with structured web analytics and revenue data in a cloud environment
-
Ensure models are robust, explainable, and production-ready
Tech Environment
-
Python (NumPy, Pandas, scikit-learn)
-
SQL
-
GCP (BigQuery, Cloud Functions)
-
Deployment: Docker, Kubernetes, Airflow
-
Git, CI/CD pipelines
-
Tableau (optional)
Requirements
-
Proven expertise in time series forecasting at multiple granularities
-
Strong Python and SQL skills
-
Experience deploying models into production in a cloud environment (GCP preferred)
-
Ability to work independently and manage delivery from end to end
-
Strong communication skills for cross-team collaboration
To Apply for this Job Click Here
Data Science – Time Series and Forecasting
London
£550 - £650
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Job Title: Data Scientist – Time Series Forecasting
About the Role:
Data Scientist to lead the design and deployment of time series models forecasting website and app traffic at daily, weekly, and monthly levels. This is a high-impact, cross-functional role within a media organization, collaborating with teams across revenue, editorial, and product.
Key Responsibilities:
-
Lead forecasting projects for monetizable traffic
-
Build and deploy models at various time scales (daily, weekly, monthly)
-
Audit and improve existing models
-
Collaborate with stakeholders across journalism, commercial, and revenue teams
-
Ensure models are production-ready using modern pipelines and tools
Required Experience:
-
Proven track record in time series forecasting (e.g., ARIMA, Prophet, LSTM)
-
Strong experience with large datasets (e.g., traffic, engagement metrics)
-
Model deployment experience in production environments
Key Skills:
-
Programming: Python (strong), SQL
-
Cloud Platforms: GCP (BigQuery), AWS
-
Deployment Tools: Airflow, DBT, GitHub
-
Collaboration Tools: JIRA, Slack, Notion
-
Strong understanding of model evaluation (RMSE, MAPE, cross-validation)
To Apply for this Job Click Here
Machine Learning Engineer – Deep Learning
London
£550 - £700
+ Data Science & AI
ContractLondon
To Apply for this Job Click Here
Contract Data Scientist – Forecasting, Deep Learning, Causal AI (Retail)
£600-700/day | 4 Months | Start ASAP | Inside IR35
RAPP is looking for a technically sharp, hands-on Data Scientist to join their agile consulting team supporting high-profile retail clients. This is a 4-month contract with the chance to work on impactful forecasting and causal AI projects within a fast-moving, agency-style environment.
What You’ll Be Doing:
-
Designing and building custom forecasting models (XGBoost, deep learning, RL) for real-world retail scenarios
-
Applying causal and graph-based methods to understand and optimise customer behaviour
-
Working across the full stack of data science, from data wrangling to deployment
-
Operating within a modern MLOps setup (Docker, CI/CD, AWS)
-
Contributing to product-facing tooling (bonus if you’ve used JavaScript / Next.js / TypeScript)
What We’re Looking For:
-
Strong practical knowledge of deep learning fundamentals – ideally with PyTorch
-
Experience building bespoke models for time series, tabular, image, or text data
-
Hands-on forecasting experience with retail or consumer datasets
-
Skilled in causal inference, graph AI, or reinforcement learning
-
Comfortable deploying models in production environments
-
Strong communicator, able to clearly explain technical choices and trade-offs
Nice to Have:
-
Exposure to JavaScript, TypeScript, or Next.js
-
Prior work in a startup, agency, or consultancy environment
This is a fast-paced project with immediate impact – if you’re a data scientist who thrives on building models from scratch and solving tough commercial problems, this one’s for you.
To Apply for this Job Click Here
Director of Data Science
$195000 - $215000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Data Science
LOCATION: Remote (US-based)
SALARY: $190,000 – $215,000 + bonus
INDUSTRY: FinTech / Consumer Services
Are you a visionary data science leader with a passion for delivering real business impact? A high-growth, mission-driven consumer services organization is looking for a Director of Data Science to lead and scale their machine learning practice. This is a unique opportunity to drive enterprise-level value through operationalized AI while partnering with senior leadership to influence strategy.
THE COMPANY
This organization is a well-established player in the financial services space, serving millions of consumers with a mission to create better financial outcomes. With a fast-evolving data function and strong executive buy-in, they’re investing heavily in AI/ML to transform decision-making, automate key workflows, and unlock new product capabilities.
THE ROLE
As Director of Data Science, you’ll lead a high-performing team of data scientists and a product manager, owning the end-to-end lifecycle of machine learning models-from ideation to production. You’ll work cross-functionally with engineering, product, and operations teams to scope high-ROI initiatives and ensure scalable, ethical deployment of models via batch inference and real-time APIs.
This is a highly visible role reporting to executive leadership, offering autonomy, strategic influence, and the opportunity to shape the future of AI across the business.
KEY RESPONSIBILITIES:
- Lead, mentor, and grow a team focused on building production-grade ML models aligned with business goals.
- Drive the discovery, prioritization, and ROI evaluation of new data science initiatives.
- Architect and oversee the full ML lifecycle-development, deployment, monitoring, and retraining.
- Collaborate with data engineering and MLOps teams to ensure scalable and reliable pipelines using Snowflake, DataRobot, and real-time APIs.
- Champion best practices in model governance, explainability, and responsible AI.
- Present insights and strategy recommendations to executive stakeholders in a compelling, accessible manner.
YOUR SKILLS & EXPERIENCE
Required:
- 10+ years in data science or machine learning, with 2+ years in a formal leadership or player-coach role.
- Strong expertise in Python and SQL, with deep understanding of supervised and unsupervised learning.
- Proven experience deploying and monitoring ML models in production environments (batch and real-time).
- Track record of cross-functional collaboration with engineering, product, and business leaders.
- Familiarity with model deployment platforms like DataRobot, Sagemaker, or similar.
- Experience with Snowflake-native ML or integrated MLOps workflows.
- Strong communication skills and business acumen-able to influence at the executive level.
Nice to Have:
- Background in financial services, lending, or high-volume consumer products.
- Exposure to prescriptive analytics and optimization techniques.
BENEFITS
- Competitive compensation and equity
- Fully remote flexibility
- Comprehensive benefits package
- High-visibility role with executive sponsorship
- Opportunity to build a cutting-edge ML function from the ground up
HOW TO APPLY
Please send your CV to Gabriella Ferrara at Harnham to learn more about this exciting opportunity.
To Apply for this Job Click Here
Director of Applied AI
USA - Fully Remote
$200000 - $215000
+ Data Science & AI
PermanentUSA
To Apply for this Job Click Here
Director of Applied AI – GenAI, NLP, and Intelligent Automation
Location: Remote – US Based
Compensation: $200,000 – $215,000 base + bonus
ABOUT THE COMPANY
We’re partnered with a fast-scaling consumer tech business undergoing a digital transformation, with executive-level buy-in for AI initiatives. The company is focused on deploying cutting-edge Generative AI to transform internal operations, client engagement, and revenue-driving functions.
They’re now hiring a Director of Applied AI to lead strategy and delivery across intelligent agents, GenAI search assistants, document AI, and productivity tools. This is a rare opportunity for a hands-on AI leader to shape and scale a newly built function with real-world business impact.
THE ROLE
Reporting into the VP of Data & AI, you’ll own the roadmap, vendor strategy, and technical execution for applied AI across the enterprise. You’ll manage a small but growing team and be responsible for building the playbook for responsible, scalable AI implementation.
Key Responsibilities:
- Define and lead the Applied AI strategy across sales, customer support, employee productivity, and analytics.
- Deliver solutions including:
- GenAI-powered digital and voice agents
- RAG + LLM-based internal knowledge assistants
- OCR and intelligent document processing
- AI-powered insights and summarization
- Evaluate and integrate AI vendor solutions, prioritizing “buy over build.”
- Partner cross-functionally with Product, Engineering, and Operations to translate business needs into scalable AI capabilities.
- Oversee prototyping, technical evaluation, and deployment of third-party AI tools.
- Build and maintain execution roadmaps, business alignment, and governance standards.
- Stay current on GenAI trends, vendor landscape, and tools to evolve strategy over time.
YOUR SKILLS AND EXPERIENCE
- 6-10+ years in Data Science / ML / Applied AI, with 2+ years in a leadership role.
- Strong hands-on experience with Python, GenAI APIs, LLM frameworks, and vector databases.
- Proven delivery of production-grade digital or voice AI agents.
- Deep understanding of prompt engineering, RAG pipelines, and LLM deployment.
- Familiarity with Salesforce workflows, voice AI for telephony platforms, and enterprise SaaS procurement.
- Strong business judgment and stakeholder communication skills.
- Prior experience working in regulated or high-volume environments (e.g., financial services, healthcare, B2C platforms).
- Exposure to enterprise ML platforms (e.g., Snowflake, DataRobot) is a plus.
THE BENEFITS
- Executive-Level Compensation: $200,000-$215,000 base + bonus
- Remote-First Environment
- Growth Opportunity: Lead and grow a foundational AI function with direct business impact
- Full Benefits Package: Healthcare, 401(k) (9%), PTO, and additional wellness perks
HOW TO APPLY
Submit your resume to Luc Simpson-Kent via the Apply link. We’re excited to connect with hands-on AI leaders ready to own and scale GenAI innovation across a dynamic enterprise.
To Apply for this Job Click Here
Director of Machine Learning – NLP & LLMs
New York
$300000 - $325000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Director of Machine Learning – NLP & LLMs
Location: Fully Remote
Compensation: $300,000 – $325,000 base salary + performance bonus + equity
ABOUT THE COMPANY
We are partnered with a high-growth company at the intersection of AI, legal tech, and financial services, fundamentally transforming how regulated industries leverage language models and machine learning. This organization is building sophisticated NLP/LLM systems to streamline complex workflows for legal and financial professionals.
With executive-level support and increasing product demand, they’re seeking a Director of Machine Learning to lead strategy, research, and engineering execution across NLP and LLM initiatives. This is a rare opportunity to drive technical vision, shape an elite ML team, and build impactful AI systems from the ground up in a regulated space.
THE ROLE
As Director of Machine Learning, you’ll be responsible for setting the long-term machine learning roadmap, leading technical teams, and ensuring the successful development and deployment of scalable NLP solutions. You will report directly to the Head of AI and work closely with executive leadership, product, and engineering.
Key Responsibilities:
-
Strategic Leadership: Define the ML vision and roadmap for NLP and LLM-based solutions, aligned with company goals and customer needs.
-
Team Building & Management: Hire, mentor, and manage a team of ML engineers and applied scientists. Foster a high-performing, collaborative environment.
-
Technical Oversight: Guide end-to-end model development-from research and prototyping through production deployment, performance monitoring, and continuous optimization.
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Cross-Functional Influence: Collaborate with product, legal, engineering, and design teams to translate business needs into scalable AI solutions.
-
Innovation: Stay ahead of the curve in LLM research and NLP advancements. Evaluate and implement new technologies and tools to maintain technical edge.
-
Thought Leadership: Represent the company in industry discussions, conferences, and partner conversations. Champion best practices in ethical and responsible AI.
-
Operational Excellence: Ensure strong MLOps foundations are in place, including CI/CD, data governance, model monitoring, and security practices.
YOUR SKILLS AND EXPERIENCE
Required Qualifications:
-
10+ years of experience in machine learning and software engineering, with at least 4+ years in a leadership or managerial role.
-
Demonstrated success building and leading teams that develop and deploy NLP/LLM models at scale.
-
Deep expertise in Python, ML frameworks (e.g., PyTorch, TensorFlow), and modern NLP tools (e.g., Hugging Face Transformers, spaCy).
-
Experience designing and implementing ML systems in production, especially with large language models (e.g., GPT, BERT, T5).
-
Proven ability to align technical initiatives with business goals, working cross-functionally with product and exec teams.
-
Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and scalable ML pipelines.
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field; PhD preferred.
-
Publication or open-source contributions in NLP/ML domains (e.g., ACL, NeurIPS, ICLR, EMNLP) a plus.
THE BENEFITS
-
Executive-Level Compensation: $300,000 – $325,000 base + bonus + equity potential.
-
Remote-First Culture: Work from anywhere in the United States or Canada.
-
Elite Talent Environment: Collaborate with top-tier researchers, engineers, and domain experts.
-
Comprehensive Benefits: Full health, dental, vision, 401(k), and wellness programs.
-
Strategic Impact: Lead a core function at the center of the company’s long-term success.
HOW TO APPLY
Submit your resume to Tim Jonas via the Apply link on this page. We’re excited to connect with experienced ML leaders ready to guide cutting-edge AI development in a deeply impactful space.
KEYWORDS:
Director | Machine Learning | NLP | LLMs | AI Leadership | ML Strategy | Deep Learning | Natural Language Processing | AI Platforms | MLOps | Legal Tech | Financial Services | Model Deployment | Engineering Management | AI Infrastructure | Hugging Face | Generative AI | Enterprise AI
To Apply for this Job Click Here
Senior Machine Learning Engineer – NLP & LLMs
New York
$180000 - $210000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior Machine Learning Engineer – NLP & LLMs (Mid-Level)
Location: Fully Remote
Compensation: $180,000 – $210,000 base salary + bonus + benefits
ABOUT THE COMPANY
We’re working with a cutting-edge financial services company transforming the legal space through advanced AI. Their mission: to make legal and financial workflows smarter, faster, and more cost-effective by leveraging the latest in natural language processing and machine learning. As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer (Mid-Level) to join their growing NLP/LLM team.
This is a great opportunity for someone with solid production-level ML experience who wants to take the next step-working closely with seasoned researchers, engineers, and product leaders to build next-generation AI systems in a high-impact domain.
THE ROLE
As a Machine Learning Engineer, you’ll contribute to the development, deployment, and optimization of NLP models and AI infrastructure. You’ll be responsible for translating cutting-edge research into scalable, production-ready systems and collaborating with teams across engineering, research, and product.
Key Responsibilities:
- Model Development & Integration: Work with senior engineers and researchers to develop and integrate LLMs and NLP models into customer-facing products.
- Production-Ready Code: Build and maintain model pipelines that are scalable, testable, and efficient.
- Data Engineering: Help design and manage data pipelines, labeling workflows, and model training datasets.
- Model Tuning & Evaluation: Assist in prompt engineering, fine-tuning, evaluation, and benchmarking of NLP models.
- Collaboration: Partner with applied scientists and product teams to deliver end-to-end features powered by machine learning.
- Learning & Growth: Expand your skills through mentorship and exposure to cutting-edge NLP/LLM work and tooling.
YOUR SKILLS AND EXPERIENCE
We’re looking for a motivated engineer with a strong foundation in machine learning and an eagerness to grow within a fast-moving team.
Required Qualifications:
- 3-5 years of professional experience building and deploying ML models (with at least 2 years focused on NLP).
- Proficient in Python and familiar with ML libraries like TensorFlow, PyTorch, spaCy, or Hugging Face Transformers.
- Experience with model training, evaluation, and deployment in cloud environments (e.g., AWS, GCP, or Azure).
- Comfortable working with large datasets, data preprocessing, and version control tools (e.g., Git, DVC).
- Knowledge of modern NLP concepts and language model architectures (e.g., BERT, GPT, T5).
- Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s a plus).
Bonus Points For:
- Experience with MLOps tools (e.g., MLflow, Airflow, Kubernetes).
- Previous work with legal, financial, or highly regulated data.
- Contributions to open-source NLP tools or public research.
BENEFITS
- Competitive Compensation: $180,000 – $210,000 base + bonus.
- Flexible & Remote: Work from anywhere in the United States or Canada.
- Health & Wellness: Comprehensive medical, dental, vision, and 401(k).
- Professional Growth: Work alongside experienced engineers and researchers in a high-learning environment.
- Impact: Contribute to real-world AI products used by professionals in law and finance.
HOW TO APPLY
Send your resume to Tim Jonas via the Apply link on this page. We’re excited to meet engineers who want to build meaningful, AI-driven systems in a space that matters.
KEYWORDS:
Machine Learning | NLP | LLM | Deep Learning | Generative AI | Model Deployment | Python | PyTorch | TensorFlow | Hugging Face | Prompt Engineering | ML Pipelines | Legal Tech | Financial Services | AI Infrastructure | Mid-Level Engineer | Scalable AI Systems
To Apply for this Job Click Here
Staff Machine Learning Engineer – NLP & LLMs
New York
$250000 - $275000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Staff Machine Learning Engineer – NLP & LLMs
Location: Fully Remote
Compensation: $250,000 – $275,000 base salary + bonus + benefits
ABOUT THE COMPANY
We are partnered with a market leader in the legal and financial services industry, driving innovation through AI. This company is revolutionizing how professionals interact with data by integrating cutting-edge NLP and LLM technologies. As their platform scales, they are seeking a highly skilled Machine Learning Engineer to take the lead in developing, deploying, and optimizing advanced AI models that directly impact high-value, high-regulation environments.
This is an opportunity to build mission-critical systems from the ground up and work alongside some of the top minds in AI and law.
THE ROLE
As a Staff Machine Learning Engineer, you will work closely with researchers and the C-suite to design and implement robust machine learning infrastructure and end-to-end NLP/LLM pipelines. You will bridge the gap between experimentation and scalable deployment, contributing to the full lifecycle of AI products.
Your Responsibilities Will Include:
-
Model Deployment & Scaling: Engineer and deploy large-scale NLP and LLM models for production environments.
-
Infrastructure & Tooling: Build and maintain data pipelines, training workflows, and inference systems optimized for low-latency and high-accuracy.
-
End-to-End Development: Take PoCs from research stage to production-grade systems, focusing on performance, reliability, and maintainability.
-
Optimization: Improve existing model architectures and fine-tune LLMs using retrieval-augmented generation (RAG), prompt tuning, quantization, and efficient inference techniques.
-
Collaboration: Partner with Applied Scientists, Legal SMEs, and Product Leaders to align technical solutions with business and user needs.
-
Code Quality: Write clean, scalable, and well-documented code using industry best practices.
YOUR SKILLS AND EXPERIENCE
We are looking for an experienced and versatile Staff Machine Learning Engineer with the following qualifications:
-
5+ years of experience deploying NLP and ML models in production environments.
-
Strong software engineering background in Python, with experience using frameworks like TensorFlow, PyTorch, spaCy, Hugging Face Transformers, and more.
-
Demonstrated ability to scale models and build distributed training/inference systems.
-
Experience working with large datasets and knowledge of data pipelines, MLOps tools (e.g., MLflow, Kubeflow, Airflow), and cloud infrastructure (AWS, GCP, or Azure).
-
Deep understanding of NLP concepts and LLM architectures (BERT, GPT, T5, etc.).
-
Comfortable working cross-functionally with researchers, product teams, and senior leadership.
-
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (PhD a plus, but not required).
-
Bonus: Contributions to open-source NLP projects or publications in applied ML conferences (NeurIPS, ACL, EMNLP, etc.)
BENEFITS
-
Top-Tier Compensation: Base salary of $250,000 – $275,000 + annual bonus.
-
Fully Remote: Work from anywhere in the United States.
-
Ownership: End-to-end responsibility for the models and systems you help build.
-
Health & Retirement: Comprehensive medical, dental, vision, and 401(k) plans.
-
Research-Driven Culture: Collaborate with world-class researchers and engineers solving impactful real-world problems.
HOW TO APPLY
Interested applicants should submit their resume to Tim Jonas via the Apply link on this page. We look forward to seeing how your engineering skills can help shape the future of legal and financial AI systems.
KEYWORDS:
Machine Learning | ML Engineering | NLP | LLMs | Deep Learning | Large Language Models | MLOps | Python | PyTorch | Hugging Face | TensorFlow | Cloud Infrastructure | Distributed Systems | RAG | Prompt Engineering | AI Platforms | Legal Tech | Financial Services | Applied ML | Model Deployment
To Apply for this Job Click Here
Senior Data Scientist
Manchester
£60000 - £70000
+ Data Science & AI
PermanentManchester, Greater Manchester
To Apply for this Job Click Here
Senior Data Scientist
Location: Remote-first (UK-based)
Salary: £70,000
The Company
A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. With a growing client base of major global travel brands, they’re hiring exceptional talent to push the boundaries of what’s possible in commercial strategy.
The Role
As a Senior Data Scientist within the Forecasting Algorithms team, you’ll design and deploy high-frequency demand forecasting models that directly support pricing decisions. You’ll own the full development lifecycle-from modelling to deployment-while collaborating closely with science, product, and engineering stakeholders.
This is a hands-on role suited to someone who thrives on building, testing, and deploying complex statistical models in a production environment. You’ll work in a modern MLOps setup, contributing to libraries and frameworks used across the company’s data science organisation.
Key Responsibilities:
-
Design and deploy time series forecasting models with a strong focus on accuracy and scalability
-
Improve existing model performance and drive innovation through new methodologies
-
Develop internal ML and forecasting libraries using Python
-
Translate product goals into technical solutions in collaboration with leadership
-
Implement validation frameworks, unit tests, and monitoring pipelines
-
Stay current with advances in machine learning and apply them where appropriate
Tech Stack:
-
Python (Pandas, Polars, SciPy, Scikit-learn, NumPy)
-
Dagster, Argo, GCP
-
Kibana, Elastic
-
DevOps-first approach for model deployment
Skills & Experience:
Essential:
-
Strong background in statistics, machine learning, and time series forecasting
-
Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms)
-
Proficiency in writing production-level Python code
-
Familiarity with CI/CD practices, testing, and model validation
-
Confident working across teams and taking ownership of delivery
-
Strong communication and problem-solving skills
Desirable:
-
Experience in demand forecasting or operations research
-
Familiarity with Bayesian methods, Monte Carlo simulations, or reinforcement learning
-
Exposure to high-scale SaaS or B2C products
Why Apply?
-
Build forecasting systems powering global commercial strategies
-
Collaborate with a world-class data science team
-
Up to £70,000 + equity in a high-growth AI company
-
Excellent benefits: private healthcare, mental health support, nursery benefit (UK), and generous PTO
How to Apply
To apply, please send your CV to Daniel Abbasi via the Apply link on this page.
To Apply for this Job Click Here
Senior Data Scientist
Miami
$170000 - $190000
+ Data Science & AI
PermanentMiami, Florida
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SENIOR/PRINCIPLE DATA SCIENTIST
MIAMI/FLORIDA
4 DAY IN OFFICE REQUIREMENT
UP TO $190k
Full Right to Work in the U.S.
We’re partnering with a leading global food and beverage brand that is embarking on a transformative journey to become a data-driven organization with the goal of better leveraging advanced analytics solutions in the QSR industry.
The Role
This would be the first hire for a Data Science team and responsible for helping shape the future of data science in this company
- Building a function from the ground up
- Hiring, building and scaling a team of data science professionals
- Drive marketing initiatives, customer segmentation and customer value assessment
- Collaborate with data and software engineers to support data science solutions through the entire product lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation and testing, and deployment.
- Apply a variety of advanced analytical techniques including predictive modelling, machine learning, time series analysis, simulation, and optimization to address specific business challenges.
Your Skills & Experience
- 6+ years working in core Data Science roles ideally across retail
- Proficient in Python & SQL
- Experience leveraging first party data (combined with 3rd party) to create an addressable audience-based media segmentation
- Proven experience as both an IC and a manager
- Experience working with a variety of statistical and modeling techniques including hypothesis testing, supervised learning (classification and regression), forecasting, unsupervised clustering, and optimization
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