MLflow Jobs

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MLflow Jobs

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Looking for the best MLflow jobs? Discover top machine learning engineer roles, data scientist positions, and AI specialist careers using MLflow on Haystack. Find your next opportunity with cutting-edge companies seeking MLflow expertise to streamline model management, experiment tracking, and deployment. Start your search today and advance your MLflow career with Haystack’s curated job listings.

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AI Software Engineer/Platform Architect - BCG X

Boston Consulting Group

+2

Locations: Stockholm Copenhagen V Berlin München LondonWho We AreBoston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.We Are BCG XWe’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.What You’ll DoOur BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.As a (Senior) AI Software Engineer you’ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You’ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following:

+4 years of experience in a technology consulting environment

Apply software development practices and standards to develop robust and maintainable software

Actively involved in every part of the software development life cycle

Experienced at guiding non-technical teams and consultants in and best practices for robust software development

Optimize and enhance computational efficiency of algorithms and software design

Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases

Enjoy collaborating in teams to share software design and solution ideas

A natural problem-solver and intellectually curious across a breadth of industries and topics

Master’s degree or PhD in relevant field of study - please provide all academic certificates showing the final grades (A-level, Bachelor, Master, PhD)

Additional tasks:

Designing and building data & AI platforms for our clients.

Such platforms provide data and (Gen)AI capabilities to a wide variety of consumers and use cases across the client organization.

Often part of large (AI) transformational journeys BCG does for its clients.

Often involves the following engineering disciplines:

Cloud Engineering

Data Engineering (not building pipelines but designing and building the framework)

DevOps

MLOps/LLMOps

Often work with the following technologies:

Azure, AWS, GCP

Airflow, dbt, Databricks, Snowflake, etc.

GitHub, Azure DevOps and related developer tooling and CI/CD platforms, Terraform or other Infra-as-Code

MLflow, AzureML or similar for MLOps; LangSmith, Langfuse and similar for LLMOps

The difference to our “AI Engineer” role is: Do you “use/consume” these technologies, or are you the one that “provides” them to the rest of the organization.What You’ll BringTECHNOLOGIES:Programming Languages: PythonExperience with additional programming languages is a plusAdditional infoBCG offers a comprehensive benefits program, including medical, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, mental health offerings, a generous retirement program, financial guidance, paid time off, and more.Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Machine Learning Operations Engineer

SSC Recruitment Solutions Ltd

+3

We are looking for an excellent ML Ops Engineer to join our research and development team.Key ResponsibilitiesThis opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack.This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure.You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project.Required Skills, Knowledge and ExpertiseYou will have relevant academic (research Masters level) and/or industry experience.Essential Skills

Excellent knowledge and experience of managing an on-premise Kubernetes cluster.

Excellent knowledge of Kubeflow and similar systems, e.g. MLflow

Good programming ability in Python with familiarity with Linux systems including scripting and system configuration.

Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc.

Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools.

Be able to design and implement MLOps solutions covering many different technologies.

Desirable Skills

Background in DevOps with exposure to CI systems, e.g. Jenkins

Familiarity with infrastructure as code, e.g. Ansible

Experience, aptitude, and a desire to work with human motion capture, sport, animation tools and techniques.

Familiarity with C++.

Data Scientist - Contract - 12 months

Randstad Technologies Recruitment

Data Scientist - Contract - 12 months+I have a great contract opportunity for a strong Data Scientist. My London based client is looking for someone with excellent experience in the manufacturing and packaging industry. You need to have excellent Stochastic Simulation / Linear Processing - not your classic data scientist. We are also looking for someone with an analytical mindset focussing on explorations/exploitation of current data models.Location: Hybrid (2/3 days London. Some overseas travel). Length: 12 months with strong view to extend IR35 Status: Inside Rate: Dependent on experience.Required experience will include:

Strong Python Programming skills.

Strong design and development skills using Python.

Python’s libraries for machine learning: PySpark, Pytorch, scikit-learn and pandas.

Technical experience using Databricks and MLFlow (Other Platforms can be considered).

Good understanding of software code review standards - CI/CD.

Stochastic Simulation modelling experience.

If you are interested in this Data Scientist role please apply with your most recent CV. Alternatively email me on Jordan co . ukData Scientist - Contract - 6 months+Randstad Technologies is acting as an Employment Business in relation to this vacancy.

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Frequently asked questions

What types of MLflow jobs are listed on this platform?

Our job board features a variety of MLflow-related roles including MLflow engineers, machine learning engineers with MLflow expertise, data scientists managing ML pipelines, and DevOps professionals specializing in MLflow deployment.

Do I need prior experience with MLflow to apply for the jobs?

Most MLflow job listings require some hands-on experience with the MLflow platform, such as tracking experiments, packaging ML models, or deploying ML workflows. However, some entry-level roles may provide opportunities to learn MLflow on the job.

Are remote MLflow job opportunities available?

Yes, our job board includes both remote and onsite positions involving MLflow. You can filter search results to find remote, hybrid, or location-specific roles that match your preferences.

What skills complement MLflow experience for these jobs?

In addition to MLflow proficiency, skills commonly sought after include machine learning algorithms, Python programming, data engineering, cloud platforms like AWS or Azure, containerization with Docker, and experience with CI/CD pipelines.

How can I stay updated on the latest MLflow job openings?

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