ReefPoint Group
AI/ML Engineer (Artificial Intelligence & Intelligent Automation)

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Description
ReefPoint Group (RPG) is a mission-driven consulting firm dedicated to improving outcomes for Veterans, service members, and federal agencies through data, technology, and strategic consulting. We partner with our clients to solve complex operational challenges, modernize enterprise systems, and transform data into actionable insights that drive mission success.
At RPG, we value curiosity, collaboration, integrity, and innovation. Our teams work alongside clients to deliver practical solutions that make a measurable impact while fostering a culture of continuous learning and professional growth.
Position Overview
ReefPoint Group is seeking AI/ML Engineers and Senior AI Engineers to join our growing Data & AI practice. This position is part of our AI & Intelligent Automation Talent Community, supporting multiple current and upcoming opportunities across our federal client portfolio.
We're looking for professionals who enjoy transforming complex data into intelligent solutions that improve decision-making, automate business processes, and solve real-world challenges. Whether your experience is centered around machine learning, intelligent automation, generative AI, natural language processing, MLOps, or AI platform engineering, you'll have the opportunity to work on meaningful projects that support mission-critical organizations.
Successful candidates have experience developing, deploying, and supporting AI-enabled solutions using cloud technologies, enterprise data platforms, and modern software engineering practices. Experience with platforms such as Azure AI, Azure OpenAI, Databricks, Palantir Foundry, AWS AI Services, Python, OpenAI, or similar technologies is highly desirable.
What You'll Do
- Design, develop, and deploy AI and machine learning solutions that support mission-critical business objectives.
- Develop scalable machine learning pipelines and intelligent automation workflows.
- Build, train, evaluate, and optimize machine learning models for operational use.
- Integrate AI capabilities into enterprise applications, cloud platforms, and data ecosystems.
- Collaborate with data engineers, architects, product managers, and business stakeholders to identify opportunities for AI-driven innovation.
- Prepare, transform, and engineer data to support machine learning and predictive analytics.
- Deploy, monitor, and improve machine learning models in production environments using MLOps best practices.
- Support natural language processing (NLP), document intelligence, retrieval-augmented generation (RAG), and generative AI initiatives where appropriate.
- Develop APIs and automation that integrate AI capabilities into enterprise workflows.
- Evaluate emerging AI technologies and recommend practical solutions for client challenges.
- Participate in Agile development activities including sprint planning, demonstrations, and retrospectives.
- Document technical solutions and communicate complex concepts to both technical and non-technical audiences.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
- Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, or a related technical discipline
- Minimum of 3 years of professional experience developing AI, machine learning, intelligent automation, advanced analytics, or data science solutions.
- Experience programming in Python and working with machine learning or AI frameworks.
- Experience deploying AI or machine learning solutions within cloud or enterprise environments.
- Understanding of data engineering concepts, model lifecycle management, and software development best practices.
- Experience collaborating with multidisciplinary technical teams.
- Strong analytical, problem-solving, and communication skills.


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Preferred Qualifications
Artificial Intelligence & Machine Learning
- Machine Learning
- Generative AI
- Large Language Models (LLMs)
- Natural Language Processing (NLP)
- Intelligent Automation
- Predictive Analytics
- Retrieval-Augmented Generation (RAG)
- Prompt Engineering
- AI Agents
AI Platforms & Cloud Technologies
- Azure AI Services
- Azure Machine Learning
- Azure OpenAI
- Databricks
- Palantir Foundry
- AWS AI Services
- Google Vertex AI
Programming & Development
- Python
- SQL
- Spark
- MLflow
- LangChain
- Vector Databases
- REST APIs
- Git
MLOps & Modern Engineering
- MLOps
- Model Deployment
- Docker
- Kubernetes
- CI/CD
- DevSecOps
Additional Experience
- AI-assisted automation
- Data engineering and enterprise data platforms
- Model monitoring and evaluation
- Federal consulting experience
- Experience supporting VA, DoD, DHA, CMS, HHS, or other federal agencies
- Active Public Trust or Security Clearance (or ability to obtain one)
Why Join ReefPoint Group?
At ReefPoint Group, you'll help shape how federal agencies leverage artificial intelligence to solve complex challenges and improve mission outcomes. You'll collaborate with experienced consultants, engineers, and data professionals to build innovative solutions that modernize government services and deliver meaningful results.
We foster a collaborative environment where innovation is encouraged, professional growth is supported, and every team member has the opportunity to make a lasting impact.
If you're passionate about artificial intelligence, automation, and solving real-world problems through technology, we'd love to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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