AI & Machine learning Engineer Job at FSP (Glasgow or Reading, Berkshire)

AI & Machine learning Engineer

We’re hiring an AI & Machine Learning Engineer to help design and deliver next‑g...

Location

Spain , Barcelona

Salary:

Not provided

FSP

Expiration Date

Until further notice

Requirements

3+ years of experience in machine learning, AI, data science, or software development, with recent focus on GenAI and LLMs
Experience with GenAI frameworks (e.g. Azure Foundry, CrewAI and Hugging Face)
Proficient in context engineering, RAG, and LLMOps
Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry, Azure ML Studio)
Experience with Azure data and analytics services (Data Factory, Data Lake, Synapse Analytics, SQL Database)
Programming skills in Python, R, or similar languages
Familiarity with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn)
Experience with Azure DevOps, GitHub, or similar tools
Experience in Computer Vision for Optical Character Recognition (OCR) and object recognition

Job Responsibility

Deploy, fine-tune and monitor Generative AI models and Agentic AI for enterprise use cases
Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering strategies
Integrate Agentic AI into business workflows
Collaborate with data engineers to bring Agentic capabilities to production
Stay current with AI trends, tools, and best practices, and drive innovation within the team

What we offer

A collaborative and supportive environment in which you can grow and develop your career
The tools and opportunity to do work you can be proud of
A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
Industry leading coaching and mentoring
Competitive salary and an excellent benefits package

Fulltime

Machine Learning Engineer - AI Assistant + Autonomous AI Agents

Glean is looking for senior engineers who will provide expert-level individual c...

Location

United States , San Francisco Bay Area

Salary:

240000.00 - 300000.00 USD / Year

Glean

Expiration Date

Until further notice

Requirements

2+ years as a Staff Engineer, Principal Engineer, or equivalent
5+ years of industry experience in AI or Machine Learning Engineering
Experience working with agentic frameworks, reinforcement learning, natural language processing, or other large systems involving machine learning
Proven ability to design, build, and ship production-ready systems
Proficiency in your ML framework of choice
Strong coding skills (Python, Go, Java, C++, ...)
Thrive in a customer-focused, tight-knit and cross-functional environment - being a team player and willing to take on whatever is most impactful for the company
A proactive and positive attitude to lead, learn, troubleshoot, and take ownership of both small tasks and large features

Job Responsibility

Build frameworks for LLM-powered agents to use tools and knowledge sources effectively
Invent new agentic architectures and signals to improve reasoning, planning, and personalization in workplace AI assistants
Design and optimize reinforcement learning and fine-tuning approaches to improve the quality of agentic systems
Lead development of scalable evaluation, benchmarking, and optimization loops for agents in production
Drive technical strategy and mentor other engineers, raising the technical bar across the team
Write robust, maintainable, and well-tested code that powers enterprise-grade assistants and agents

What we offer

Medical, Vision, and Dental coverage
generous time-off policy
opportunity to contribute to your 401k plan
home office improvement stipend
annual education and wellness stipends
regular events
healthy lunches daily

Fulltime

New

Senior Machine Learning Engineer, AI Platform

The AI Platform team is responsible for building the foundational infrastructure...

Location

United States; Canada

Salary:

139000.00 - 218000.00 USD / Year

Mozilla

Expiration Date

Until further notice

Requirements

Bachelor’s degree with 4–6 years of relevant industry experience, or Master’s degree with significant hands-on experience building and operating production ML systems, or work experience equivalent
Strong experience developing in Python for machine learning systems, backend services, or distributed data processing
Proven experience deploying and operating ML workloads in cloud environments, including production-grade infrastructure
Solid understanding of model serving architectures, inference pipelines, and performance tradeoffs (latency, throughput, cost, scaling strategies)
Hands-on experience working with GPU-based workloads and accelerated computing in production settings
Experience designing CI/CD pipelines and development workflows that support reliable ML system deployment
Ability to independently scope and drive technical initiatives while balancing product and operational priorities
Strong problem-solving skills and the ability to debug performance and reliability issues in distributed systems
Clear and effective communication skills, with experience collaborating across engineering, product, and infrastructure teams

Job Responsibility

Design, build, and operate core AI platform components used to train, deploy, and serve machine learning models in production environments
Own model serving and inference workflows end-to-end, driving improvements in reliability, scalability, performance, and operational excellence
Lead efforts to optimize inference systems for throughput, latency, and cost efficiency across CPU and GPU workloads
Design and manage GPU-based inference and training workloads, including performance tuning, capacity planning, and resource utilization optimization
Own and improve critical parts of the model lifecycle, including packaging, versioning, testing strategies, validation, and deployment automation
Implement and evolve observability practices (metrics, logging, tracing, alerting) to improve visibility and operational resilience of ML services and pipelines
Partner closely with product, infrastructure, security, and data teams to design scalable platform capabilities that enable AI-powered features
Contribute to technical design discussions, propose architectural improvements, and mentor junior engineers through code reviews and knowledge sharing
Participate in and help improve operational processes, including incident response, on-call rotations, and post-incident reviews

What we offer

Generous performance-based bonus plans
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting
Quarterly all-company wellness days
Country specific holidays plus a day off for your birthday
One-time home office stipend
Annual professional development budget
Quarterly well-being stipend
Considerable paid parental leave
Employee referral bonus program

Fulltime

Machine Learning Engineer - AI Teams

At Doctolib, we're on a mission to transform the way healthcare is delivered by ...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

Have strong analytical skills, are result oriented and user first
Have between 3/7 years of experience in the domain of Machine Learning / Deep Learning / AI Engineering, including taking models from prototype to production at scale
Have experience in Information Retrieval and modern retrieval stacks, including some of the following: Hybrid search (sparse + dense), Large-scale embeddings and vector databases, Multi-stage retrieval and re-ranking pipelines, RAG architectures and retrieval pipelines on multimodal use cases, Tools and MCP-based integrations to bring in external data and capabilities
Proficient in LLM/VLM application development, including: Fine-tuning LLM and VLM models, Mixture-of-Experts (MoE) architectures (via LiteLLM or Model Garden), Knowledge Distillation, Prompt engineering and tool use, Evaluation and benchmarking of LLM/VLM systems
Have hands-on experience with agentic AI (e.g. building and orchestrating agents on top of ADK)
Have demonstrated strong scientific rigor and benchmarking skills: Designing metrics aligned with product goals, Running controlled end to end experiments with W&B, MLFlow or Braintrust, Analyzing and communicating results to guide product and technical decisions
Have experience with large scale applications in production (monitoring, reliability, performance, observability)

Job Responsibility

Find the right technical solution to solve the product domain goals
Implement your ideas and test them
Deploy your algorithms in production guided by our ML platform team
Measure the uplift and continuously improve your approach

What we offer

Free health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
Lunch voucher with Swile card

Fulltime

Senior Machine Learning Engineer (AI Tools)

We are looking for a Senior Machine Learning Engineer to join our Chat Group, wh...

Location

Poland

Salary:

Not provided

SmartRecruiters

Expiration Date

Until further notice

Requirements

BSc or MSc in Computer Science, Machine Learning, AI, NLP, or a related technical field - or equivalent practical experience
5+ years of experience developing and deploying machine learning systems in production
Proven expertise in NLP techniques, LLM fine-tuning, and model evaluation
Strong proficiency with deep learning frameworks (e.g., PyTorch, TensorFlow) and ML tools (e.g., scikit-learn, Hugging Face)
Advanced Python programming skills and solid software engineering fundamentals
Experience designing and maintaining end-to-end ML pipelines, from data ingestion to deployment
Hands-on experience with agentic workflows or building autonomous AI systems is a major plus
Familiarity with chatbots, conversational AI, or multi-agent systems is strongly preferred
Experience with data quality management, evaluation metrics, or observability in ML systems is a plus
Strong analytical thinking, creativity, and an ownership mindset

Job Responsibility

Architect and build agentic workflows that combine large language models, reasoning components, and data pipelines to create adaptive, goal-driven conversational systems
Lead the design and development of advanced ML/NLP products, from ideation to production - including model training, evaluation, optimization, and deployment
Drive experimentation with new approaches for agentic reasoning, coordination, and autonomous system design
Collaborate closely with product and engineering teams to integrate intelligent agents into real-world recruiting workflows
Guide technical decisions, mentor other engineers, and help define best practices for scalable, maintainable ML systems
Contribute to the evolution of our NLP and conversational intelligence stack, focusing on reliability, personalization, and user impact
Proactively identify opportunities to automate, improve, and innovate within our chat-based ecosystem

Fulltime

Senior Machine Learning Engineer, AI Personalization

Block builds simple, powerful tools that make progress towards an economy that's...

Location

United States , Bay Area, CA

Salary:

194500.00 - 343100.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

10+ years building and operating quality software
Domain expertise in recommender systems, ranking systems, or similar with 5+ years of experience
Led the development of complex models trained on large datasets powering customer facing features
Strong software engineering skills
Strong communication skills and customer empathy
Experience with PyTorch, PySpark, Databricks and AWS is a plus

Job Responsibility

Lead strategic initiatives in AI Personalization, driving the vision, architecture, and execution
Develop and deploy new AI/ML models that power search & recommendations in traditional UX as well as new agentic interfaces
Deploy to production at scale to personalize every user's experience
Be a technical leader and establish quality practices that stick, make broader design decisions and set an example for others to follow
Collaborate with a cross functional team of designers, business partners, and software engineers to build new technologies and features
Design experiments, test them on production users, analyze and repeat

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Machine Learning / AI Engineer

As part of a large-scale platform modernization initiative, the organization is ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Proven experience designing and implementing machine learning and AI solutions in a cloud environment
Strong understanding of modern data and ML platform architectures, including serverless compute
Hands-on experience with serverless, integration, and event-driven architectures
Strong programming skills in Python, SQL, and distributed data processing frameworks
Experience with CI/CD, MLOps, and Infrastructure as Code practices
Solid understanding of scalability, cost management, and performance optimization for cloud workloads
Knowledge of security, privacy, and compliance considerations for AI and data solutions
Experience designing and implementing observability, monitoring, and alerting in production environments

Job Responsibility

Designing and assessing serverless compute architectures for AI and data workloads
Building and optimizing scalable serverless data and machine learning environments
Developing and maintaining CI/CD pipelines for AI and data platform components
Ensuring reliability, performance, monitoring, and cost optimization of platform services
Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert
Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards

Fulltime

Machine Learning / AI Engineer

As part of a large-scale platform modernization initiative, the organization is ...

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

Proven experience designing and implementing machine learning and AI solutions in a cloud environment
Strong understanding of modern data and ML platform architectures, including serverless compute
Hands-on experience with serverless, integration, and event-driven architectures
Strong programming skills in Python, SQL, and distributed data processing frameworks
Experience with CI/CD, MLOps, and Infrastructure as Code practices
Solid understanding of scalability, cost management, and performance optimization for cloud workloads
Knowledge of security, privacy, and compliance considerations for AI and data solutions
Experience designing and implementing observability, monitoring, and alerting in production environments

Job Responsibility

Designing and assessing serverless compute architectures for AI and data workloads
Building and optimizing scalable serverless data and machine learning environments
Developing and maintaining CI/CD pipelines for AI and data platform components
Ensuring reliability, performance, monitoring, and cost optimization of platform services
Collaborating with data scientists, cloud engineers, and DevOps teams as a technical advisor and subject matter expert
Supporting the operationalization of machine learning models in accordance with enterprise security, governance, and compliance standards

Fulltime

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AI & Machine learning Engineer

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