40 jobs found

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications: Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Expedia Group brands power global travel for everyone, everywhere. We design cutting edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and we know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to the team The Machine Learning Scientist II role sits on the Content Relevance Ranking AI team in the Expedia Technology division of Expedia Group. This team develops and optimizes ranking models with state of the art machine learning techniques to power the selection and ranking of property images and reviews for the multiple brands in our portfolio. In this role, your expertise and passion for innovation, developing cutting edge technology and implementing industry leading solutions, will improve the experience of millions of travelers and travel partners each year. This is an applied research role: your models will be deployed to our production systems, and your results will be measured objectively via A/B testing, directly impacting our business results. We collaborate closely with the analytics, product, and engineering teams. In this role, you will Work with product management to understand business problems, identify challenges and machine learning opportunities, and scope solutions. Conduct exploratory data analysis, formulate machine learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure. Document the technical details of your work. Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with other team members and across the company. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master's degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience. You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering features, building and optimizing algorithms. You have expertise with Python and related machine learning tools, deep learning frameworks such as TensorFlow or PyTorch, and SQL like query languages for data extraction, transformation, and loading. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. You have real world experience working with large data sets in a distributed computing environment such as Spark. You have good programming practices, ability to write readable, fast code. You have intellectual curiosity and desire to learn new things, techniques and technologies. Preferred Qualifications Experience with ranking systems and recent Large Language Models (LLMs), including fine tuning, efficient deployment, and architectures. Comfortable working with ML platforms like Databricks and Cloud platforms such as AWS, and Docker. Hands on experience with workflow orchestration tools (e.g., Airflow, Flyte). Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Senior Palantir Engineer page is loaded Senior Palantir Engineerlocations: Homeworker - UK: London: Belfast: Birminghamposted on: Posted Todayjob requisition id: JR\_16664# Join Kainos and Shape the FutureAt Kainos, we're problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we're transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture , where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you'll be part of a diverse, ambitious team that celebrates creativity and collaboration. Join us and be part of something bigger. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS:As a Senior Palantir Engineer (Senior Associate) at Kainos, you will be responsible or designing and developing data processing and data persistence software components for solutions which handle data at scale. Working in agile teams, Senior Data Engineers provide strong development leadership and take responsibility for significant technical components of data systems. You will work within a multi-skilled agile team to design and develop large scale data processing software to meet user needs in demanding production environments.YOUR RESPONSIBILITIES WILL INCLUDE:• Working to develop data processing software primarily for deployment in Big Data technologies. The role encompasses the full software lifecycle including design, code, test and defect resolution.• Working with Architects and Lead Engineers to ensure the software supports non-functional needs.• Collaborating with colleagues to resolve implementation challenges and ensure code quality and maintainability remains high. Leads by example in code quality.• Working with operations teams to ensure operational readiness• Advising customers and managers on the estimated effort and technical implications of user stories and user journeys.• Coaching and mentoring team members.MINIMUM (ESSENTIAL) REQUIREMENTS:• Strong software development experience in one of Java, Scala, or Python• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.• Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment• Proficient in SQL and SQL extensions for analytical queries• Solid understanding of ETL/ELT data processing pipelines and design patterns• Aware of key features and pitfalls of distributed data processing frameworks, data stores and data serialisation formats• Able to write quality, testable code and has experience of automated testing• Experience with Continuous Integration and Continuous Deployment techniquesDESIRABLE:• Experience of performance tuning• Experience of data visualisation and complex data transformations• Experience with steaming and event-processing architectures including technologies such as Kafka and change-data-capture (CDC) products• Expertise in continuous improvement and sharing input on data best practice.# Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow.Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day.Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That's why we've been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.For more information, see .

Location: Belfast Other locations: Primary Location Only Requisition ID: At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Data Engineer Senior Consultant - Job Specification Position Overview We are seeking a highly skilled Data Engineer Senior Consultant with hands on experience designing, building, and optimizing data solutions that enable advanced analytics and AI driven business transformation. This role requires expertise in modern data engineering practices, cloud platforms, and the ability to deliver robust, scalable data pipelines for diverse business domains such as finance, supply chain, energy, and commercial operations. Your Client Impact Design, develop, and deploy end to end data pipelines for complex business problems, supporting analytics, modernising data infrastructure and AI/ML initiatives. Design and implement data models, ETL/ELT workflows, and data integration solutions across structured and unstructured sources. Collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions that unlock business value. Ensure data quality, integrity, and governance throughout the data lifecycle. Optimize data storage, retrieval, and processing for performance and scalability on cloud platforms (Azure, AWS, GCP, Databricks, Snowflake). Translate business requirements into technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions. Essential Qualifications Degree or equivalent certification in Computer Science, Data Engineering, Information Systems, Mathematics, or related quantitative field. Proven experience building and maintaining large scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar. Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data governance, and compliance requirements. Familiarity with version control (Git), CI/CD pipelines, and workflow orchestration tools (Airflow, Prefect). Soft Skills Strong analytical and problem solving mindset with attention to detail. Good team player with effective communication and storytelling with data and insights. Consulting skills, including development of presentation decks and client facing documentation. Preferred Criteria Experience with real time data processing (Kafka, Kinesis, Azure Event Hub). Knowledge of big data storage solutions (Delta Lake, Parquet, Avro). Experience with data visualization tools (Power BI, Tableau, Looker). Understanding of AI/ML concepts and collaboration with AI teams. Preferred Qualifications Certifications such as: AWS Certified Data Analytics - Specialty SnowPro Advanced: Data Engineer EY Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Number of Positions 1 City Mansion House Province Greater London Postal Code EC4 Country United Kingdom Job Type NA Job Description/ Summary Who we are: Kubrick is a next-generation technology consultancy, designed to accelerate delivery and build amazing teams. We deliver services across data, AI, and cloud and we're building the next generation of tech leaders. Since 2017, we have established a market leading position supporting our clients build their data and technology teams and deliver enduring solutions. About Kubrick Advanced: Kubrick Advanced is the delivery arm of Kubrick. It is a fast-growing team working across an array of practices tasked with delivering client projects and leading teams of Kubrick consultants. We are at the forefront of Kubrick's growth and instrumental in developing services and solutions for our clients and technology partners. Kubrick Advanced offers opportunities for technical and commercial exposure across a wide range of industries and technical use cases. It is a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture. The Role We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our growing community specialising in Databricks. The successful applicant will have a strong background in training models to support a range of problem domains and be well versed in delivering and maintaining models in a production environment through applying MLOps best practice. The role will require familiarity with the relevant capabilities of Databricks and at least one of the major cloud service providers (AWS, Azure, or GCP). Advanced proficiency in Python and SQL is essential and an academic background ground in ML theory or Maths is preferred. As a Databricks Engineer working in our Kubrick Advanced team, you will play a key role in delivering high-quality data engineering projects to our clients, often in collaboration with Databricks' professional services team. In addition to hands on technical work, you will often play a leadership role in Kubrick's delivery squads, providing technical guidance and ensuring best practices are followed throughout the project lifecycle. You will work closely with clients and internal stakeholders to translate business requirements into robust technical solutions, ensuring projects are delivered on time, within scope, and aligned with client expectations. You will also support the growth and capability development of Kubrick Advanced, particularly with respect to our Databricks delivery capabilities. This will include assuming line management and/or technical leadership roles within the team. Key Responsibilities Lead technical delivery within Kubrick's squads deployed on client project engagements, ensuring that Kubrick is known for the quality of the technical solutions it provides. Work with Kubrick & client staff of other disciplines to understand and assess requirements, design solutions and inform delivery planning. Seek, build, and maintain effective client relationships contributing to Kubrick's commercial priorities and supporting our partnering approach to working with clients. Line managing developers within the team, supporting their professional and personal development. Promote a culture of engineering excellence within KA through curiosity, collaboration and contributions to the internal knowledge base. Participating in self directed or group learning and upskilling (gaining Kubrick funded certifications) to ensure your technical skills stay up to date and industry relevant. Required Skills & Experience Strong, recent experience in Machine Learning and/or Data Science, including deployment and maintenance of production grade ML models. Demonstrable practical experience of training and deploying ML models on Databricks (has ideally attained a Databricks ML Engineer certification). Ability to "pick the right tool for the job" when it comes to selecting the type of learning model and framework to apply to a given problem statement. Awareness of the cost implications of training, fine tuning, testing and serving ML models. AI/ML subject matter expertise coupled with strong communication skills. Degree or post doc qualification in AI/ML Theory, Maths, statistics or a related subject. Ability to influence key technical and business decision makers. Experience in both delivery/technical leadership and line management. Experience mentoring junior technical personnel. Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Working Pattern: Hybrid - expectation of 2 3 days per week in our office and/or working at client locations. Diversity Statement At Kubrick, we not only strive to bridge the skills gap in data and next generation technology, but we are also committed to playing a key role in improving diversity in the tech industry. To that effect, we welcome candidates from all backgrounds and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent. We know that potential applicants are sometimes put off if they don't meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we'd love to hear from you. We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.

Hypercube Consulting is a rapidly growing data and AI consultancy dedicated to transforming the energy sector through cutting edge technology. Specialising in advanced AI systems, including Agentic AI workflows and large language models (LLMs), we help clients unlock profound value from their data assets. Join our expert team in shaping the future of AI driven energy solutions. To get a better understanding of how we think and some of the ways we work, check out our founder's blog here: We are seeking a Principal AI Engineer with expertise in Agentic AI systems and Large Language Models to lead the design, development, and deployment of advanced AI solutions. You will collaborate closely with data engineering, analytics, and cloud teams to deliver transformative AI capabilities for our clients. As an influential hire in a growing organisation, your impact will be substantial, shaping technical strategy, cultivating our AI focused culture, and setting delivery standards. You will: Engage clients to understand their challenges, designing innovative Agentic AI and LLM driven solutions. Architect and implement robust AI systems, including end to end ML/LLM pipelines and autonomous agentic workflows. Promote and establish best practices in LLMOps, AI lifecycle management, and cloud native AI infrastructure. Mentor and develop team expertise, positioning Hypercube as a leader in AI engineering excellence. Key responsibilities Technical leadership & strategy Act as the AI and LLM subject matter expert for internal teams and client engagements. Drive the strategic design and implementation of sophisticated AI solutions leveraging cutting edge Agentic AI architectures and LLM frameworks. Design, build, and maintain scalable AI and LLM based pipelines using AWS or Azure services (e.g., SageMaker, Azure ML, Databricks, OpenAI integrations). Oversee AI model lifecycles from data preprocessing and prompt engineering through to deployment and continuous monitoring in production environments. Coordinate with cross functional teams (data engineers, data scientists, DevOps, stakeholders) to define and deliver client focused AI solutions. Communicate complex AI and LLM methodologies clearly to both technical peers and non technical stakeholders. Thought leadership & evangelism Advocate for best practices in LLMOps and Agentic AI (prompt engineering, evaluation, agent architectures, CI/CD). Engage with the AI community through blogs, speaking engagements, and open source contributions. Support business development through demos, proposals, and technical pre sales activities. Foster strong client relationships, advising on AI and LLM strategic directions. Mentor colleagues, enhancing the team's collective capabilities. Technical skills Please apply even if you meet only some criteria - we value potential alongside experience. Core skills Agentic AI & LLMs: Hands on experience building, deploying, and managing large language models and agent based AI workflows. Cloud AI (AWS/Azure): Demonstrated experience delivering AI solutions in production cloud environments. Advanced Python: Expertise in developing efficient, production grade AI/ML code. LLMOps & AI Model Management: Experience with tools like MLFlow, LangChain, Hugging Face, Kubeflow, or similar platforms. Data Processing: Proficient with Databricks/Spark for large scale AI data processing. SQL: Strong capabilities in data querying and preparation. Data Architectures: Understanding of modern data infrastructure (lakehouses, data lakes, vector databases). Additional (nice to have) skills Infrastructure as Code: Terraform or similar. Streaming: Kafka, Kinesis, Event Hubs. AWS or Azure certifications. Consulting or Energy sector. Public Thought Leadership (blogs, conferences, open source). Effective stakeholder engagement and business requirements translation. Integration with complex external or hybrid cloud systems. Excellent communication across diverse technical audiences. What's in it for you? High Impact: Drive innovation in energy sector AI solutions, directly influencing client outcomes. Career Growth: Benefit from senior mentorship, dedicated training budgets, and clear growth pathways. Flexible Environment: Open to various flexible working arrangements to suit your lifestyle. Start up Culture: Contribute significantly to shaping our culture, processes, and technologies. Personal Branding: Encouraged and supported in building your public professional profile. Enhanced pension Performance related bonus Enhanced maternity/paternity Cycle to work scheme Events and community participation Private health insurance Health cash plan EV leasing scheme Training and events budget Diversity & Inclusion Hypercube is committed to creating an inclusive environment reflective of society. We actively encourage applications from all backgrounds and experiences. Ready to Apply? If this role excites you, please apply via our careers page or reach out directly - even if you meet some but not all criteria. We're excited to explore how your expertise can help transform data and AI in the energy sector! N.B. We are currently not able to sponsor visas. Apply to work at Hypercube We want to ensure that you remain in control of your privacy and personal data. Part of this is making sure you understand your legal rights. To find out more about rights, see our Privacy Policy which can be found in our footer.

Overview The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization with teams in Denmark, UK, Canada, Israel, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. As a Software Engineer within the Investigations group, you'll join a remote team of other engineers and share the responsibility of providing the right tools for the right data in order to build best in class customer experiences for our customers. Thus, you'll find the opportunity to lead, build and maintain customer facing web frontend features as well as the services and data pipelines backing them. Part of this responsibility is also to learn and understand the domain as well as the underlying data platform in order to successfully partner with product managers and designers to deliver impactful solutions to our customers. Responsibilities Become part of an established team adept at collaboration and task allocation. A team which can focus on generating direct impact. Make key contributions to high availability solutions in close collaboration with your team through your ability and willingness to take ownership and assist where needed. Your contributions will be thorough and result in sustaining a low maintenance overhead. Gain customer understanding as well as valuable insights into our data platform through your curiosity around cryptocurrencies/decentralized-finance Demonstrate your passion for learning by seeking out knowledge and collaborating with people close to our products and solutions. Display your bias to ship and iterate alongside product management and design partners. Qualifications Expertise in writing and maintaining Java/Spring-based backend services. Experience in the full lifecycle of service management, from initial development to continuous operation. A deep understanding of the critical aspects of service scalability and high availability as well as monitoring and maintaining deployed features and services ensuring optimal performance and reliability. Database management systems experience including replication, high availability, performance tuning, and complex query optimization. A background in frontend development. Strong knowledge of container orchestration using Kubernetes. Nice to have An understanding of event streaming platforms. Hands on with infrastructure as code. A track record in mentoring other engineers, leading cross-team projects without authority, and driving design and technology decisions. Technologies we use (nice to have experience) Monitoring and alerting: Datadog, Falcon LogScale (formerly Humio) • Database management systems: PostgreSQL, ClickHouse Deployment tools: Flux, Helm, Kustomize Frontend frameworks: React, Angular Infrastructure as code: Terraform, Terragrunt Cloud provider: AWS Event streaming platform: Kafka Big data processing: Databricks About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That's where Chainalysis comes in. We provide complete knowledge of what's happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We're ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more about our process and rights. We can't wait to meet you.

A leading tech company in the property sector seeks a Principal Data Engineer to define and scale the technical strategy of their data platform. The role involves overseeing data systems, ensuring quality and compliance with regulations. Ideal candidates will have cloud experience in AWS and Azure, exceptional skills in PySpark, and technical leadership. Offering a salary between £80,000 and £100,000 a year. This is an opportunity to mentor engineers and influence data strategy across the organization.

Senior Software Engineer- Energy & Resources Analytics Platform London, United Kingdom We set out to build the world's most trusted consulting firm - creating lasting impact for clients and pioneering a positive, people-first way of working. We work with everyone from FTSE 100 names to bright new start-ups, in every sector. You'll find us collaborating shoulder-to-shoulder with our clients, from the big picture right down to the detail: helping them define their strategy, deliver complex change, spot the right commercial opportunities, manage risk, or bring their purpose and sustainability goals to life. Our clients love how we get to know what makes their organisations tick - slotting seamlessly into their teams and being proudly geeky about solving their challenges. We have hubs in Europe, the US, Asia and Australia, and we work all around the world - from a wind farm in Wyoming to a boardroom in Berlin." Our Market, Advisory and Analytics practice are looking for experienced Senior Platform Software Engineers to join the team. Baringa are world leaders in modelling energy markets and using the insights these models provide to drive change in a decarbonising energy industry. We deal with highly varied modelling, data, and processing - everything from kilobytes of academic papers to terabytes of hourly scenario projections for 50+ years. Our staff come from diverse backgrounds, based across multiple geographies, and utilise a variety of technologies, tools and analytical modelling approaches. They need rapid access to data, analytics outputs, and processing through GUIs, APIs and other systems, whilst being given the confidence that everything is compliant, licenced and well-governed. Our scale and model complexity has now reached a point that to continue to achieve our business vision, we are building a dedicated global Platform team. We are looking for experienced software engineers to join as core members of this team to help architect, implement and support the tools that will be fundamental to Baringa's ongoing growth and success. This will be a high calibre team, where curiosity and a thirst to understand the problem space is not just encouraged, but prioritised. There will be a range of engineering challenges to solve at all levels, requiring the flexibility to adopt the right technology for a given problem space. Our next generation platform will be core to driving significant improvements to the lives and capabilities of our Baringa colleagues in the energy modelling space. Successful candidates will be given responsibility and freedom from day one, trusted to challenge and be challenged in turn, in an environment that rewards creativity and entrepreneurship as we build the foundations for Baringa's future. Come and join us to be part of the energy transition, the defining challenge of our lifetimes, where your technical skills and experience can have real impact. What you will be doing We are looking for an experienced software engineer to be a core member of the new Platform team, working closely with the Engineering Lead. You will be working within our Energy and Resources group to: Work closely with the Engineering Lead to engage tool developers, energy system modellers, client facing energy experts and users across the business to build a platform and supporting toolchain that fulfils the needs of your Baringa colleagues. Be a driving force in the development, automated testing and deployment of the new platform, utilising best-practices to ensure quality, reliability and monitoring is built-in from inception. Work with the team to build a DevOps pipeline with robust CI and CD practices, with a focus on evolving our processes to improve our team's engineering experience. Be an active part of the team's agile development approach, from refinement through to demonstration and feedback, helping drive the continuous improvement of team processes as we grow and mature. Your skills and experience We're looking for people to join the team who will be committed to designing and building high quality and fit-for-purpose systems, enabling our staff to maximise the creation, utilisation and management of the various models, tools and data frameworks that enable market-leading insights for our clients. You are passionate about building the 'right' solution to problems, and understanding the 'why' behind what you're building to support Baringa's work in the energy sector. You have practical experience as a senior engineer in highly motivated engineering team(s), collaborating closely with colleagues and taking pride in what you create. You are great at problem solving and see all technologies/engineering as a means to achieve this. You have advanced working knowledge of a general programming language (e.g. Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have working knowledge of modern software engineering tools (Git, CI/CD pipelines), cloud technologies (Azure, AWS) and IaC (e.g. Terraform, Pulumi) You have worked with different frameworks throughout technology stacks (e.g. React/Angular/Vue/Blazor frontends etc., FastAPI/Spring Boot/Django/.NET backends etc.) You have experience building and working across different architectural approaches, and are confident in justifying your technology and architectural choices. You are passionate about communicating complex concepts succinctly to both technical and non-technical colleagues and clients to reach a common understanding. You have experience working with agile methodologies (e.g. Scrum/Kanban), with an understanding of the key principles that underpin its effective use. We've seen the research that says that some candidates will not apply to a role if they don't meet every requirement, so don't let this put you off. If you think you are a good overall match please do get in touch - we look carefully at all applications and you may well be our ideal candidate. What a career at Baringa will give you Putting People First. Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service. Flexible Working: We know that the 'ideal' work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave. Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us. Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We've introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice. Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company's success. Diversity and Inclusion We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people. You can be a part of our 'Great Place to Work' - with our commitment to women and well-being in the workplace for all. Click here to see some of our recent awards and how we've achieved this. Using business as a force for good. We maintain high standards of environmental performance and transparency, which can be seen through our commitment to Net Zero with our SBTI-verified Scope 1, 2 and 3 emissions reduction targets and our support of the Better Business Act. We report our progress publicly and ensure that we are also externally assessed and scored through organisations like CDP and EcoVadis - helping us to continually identify where we can improve. We have a long legacy of supporting the communities in which we work, and offer a variety of ways to contribute, by putting people first and creating impact that lasts. Our Corporate Social Responsibility (CSR) agenda is about giving back to the communities in which we live and work by sharing our skills, talent and time. In essence, we aim to empower and encourage everyone in the firm to contribute to the things we care about, and support registered charities and organisations with a clear social or environmental purpose to increase the positive impact they can have. All applications will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, nationality, disability, age, faith or social background. We do not filter applications by university background and encourage those who have taken alternative educational and career paths to apply. We would like to actively encourage applications from those who identify with less represented and minority groups. We operate an inclusive recruitment process . click apply for full job details

Do you strive to make a difference? Goaco is looking to build a team to continue solving problems using software and technology for our clients. We are developers at heart - and by the mind too. We thrive on challenges and live for logical thinking. Formed over a decade ago, we have built on our successes, all of whom have benefitted from their level-headed software solutions. The team is all like-minded individuals, with a drive to succeed in their own fields. Goaco is a Digital and Cyber Security Consultancy and we are looking to build a team to continue solving problems using software and technology for our clients. As a Development & Cloud Solutions Architect, you will lead the design and delivery of scalable, secure, and high-performing cloud-based solutions tailored to meet the needs of private and public sector clients. RESPONSIBILITIES Across AWS, Azure, and GCP, devise and execute flexible, protected data architectures. Give enterprise-wide data models, pipelines, and artificial intelligence frameworks. Use Spark, Kinesis, Pub/Sub to organise real time and batch data processing. Create ML pipelines for effective model training, deployment, and monitoring. Construct AI powered analytical systems, data lakes, and warehouses stored in the cloud. Ensure that data security, privacy, and integrity policies are followed. Offer technical leadership in data engineering, artificial intelligence, and machine learning. Deploy auto AI using CI/CD together with MLOps greatest practices. While guaranteeing high availability and performance, make the best use of cloud assets. Lead groups in choosing technology agnostic data and artificial intelligence tools. Work with the sales team to help form AI driven products and answer RFPs. Give customers technical lectures, proofs of concept, and artificial intelligence demos. Encourage stakeholders to modernise, embrace the cloud, and embrace artificial intelligence. Get engineering teams and senior management involved to coordinate artificial intelligence approaches with corporate aims. Give training seminars, hackathons, and workshops to stimulate creativity. Mentoring groups on optimal approaches in artificial intelligence, data engineering, and cloud structures. Create artificial intelligence powered systems appropriate to security standards and official rules. Convey difficult scientific ideas to stakeholder who themselves are not experts. EXPERIENCE & SKILLS REQUIRED Experience in AI/ML platform design, data engineering, and solution architecture. Skilled in current data technologies (Kafka, Spark, Snowflake, Databricks, BigQuery). Proficient in deep learning (TensorFlow, PyTorch) as well as artificial intelligence/machine learning platforms (SageMaker, Azure ML, Vertex AI). Good understanding of responsible Artificial Intelligence practices, model interpretability, and AI ethics. Experience combining artificial intelligence with event driven architectures, APIfirst approach, and microservices. Ability demonstrated to create AI/ML solutions from start to end-from data acquisition to deployment. Knowledge of regulatory compliance, data strategy, and governance in different industries. Experience with cognitive services, decision making, and AI driven automation. Technical presales knowledge, proposition drafting, and stakeholder interaction. Good consulting abilities marrying technical feasibility with corporate requirements. Track history of providing artificial intelligence/data services to enterprise clients and government. Full knowledge of constraints on public sector data policies and compliance requirements. Cybersecurity, health, and financial industries expertise. Trained in Azure, AWS, and common artificial intelligence/machine learning platforms. BENEFITS We prioritise employee well-being and mental health by offering a comprehensive range of benefits so to enhance both health and career growth. Competitive Salary: Salary depending on experience and background. Health Benefits: 24/7 GP Access, Counselling Services, Virtual Physiotherapy, Discounted Gym Memberships, Virtual Gym Classes, Discounted Private Health Cover, Eye Care Discounts. Wealth Benefits: Shopping Discounts, Debt Support, Money Advice, Free Credit Reports, Travel Money Savings. Education Benefits: Learning Courses, Business Skills Training. Offered only to employees based in the UK Apply for this job Full Name Email Phone Canada +1 Single Line Text File Upload Click or drag a file to this area to upload.

We're looking for a Senior Ruby Engineer to join the Payments team and help evolve the platform that powers millions of subscription bills worldwide. You'll design and deliver features across our Ruby on Rails ecosystem, integrate with multiple payment service providers (PSPs), and improve resiliency and user experience at a global scale. This is a full-time role with long-term engagement. This remote position, ideally suited for candidates located in LATAM or the US time zones, is perfect for someone with a deep technical background in Ruby backend stack and AWS cloud solutions. Must-have for the position 5+ years of backend experience with Ruby and Ruby on Rails for high-scale, production systems; Payments domain experience, including integrations with PSPs such as Stripe, Braintree, Adyen; 3+ years of Experience with AWS building, operating, and monitoring cloud services; Strong ownership, clear communication, and ability to drive projects end-to-end; English Level: Upper-Intermediate English or higher. Will be a strong plus Databricks exposure (e.g., analytics/observability workflows around payments); Hands-on use of AI productivity tools for coding (e.g., Cursor, ChatGPT/Copilot-style assistants). Responsibilities Own and enhance the payments & billing platform, ensuring accuracy, reliability, and great UX across the subscription lifecycle; Design, implement, and ship new features and services in Ruby/Rails to support billing, retries, dunning, and PSP capabilities; Integrate and optimize multi-PSP payment flows (auth, capture, refunds, chargebacks, reconciliations); Improve observability & resilience (logging/metrics/alerts, graceful degradation, idempotency, retries); Partner with product, data, finance, and support to troubleshoot production issues and deliver high-quality outcomes; Contribute to code reviews, technical design docs, and team standards. About the project Client is an American e-book and audiobook subscription service that includes one million titles. The platform hosts 60 million documents on its open publishing platform. The platform allows anyone to share their ideas with the world, access to audio books, access to the world's composers who publish their music, and incorporates articles from private publishers and world magazines. The payments and billing platform powers millions of subscription bills globally, integrating with multiple PSPs to process payments for a global subscription platform (authorization, settlement, refunds, invoicing, dunning). Tech Stack and Team Composition Tech Stack: Ruby on Rails application running on AWS, integrating with multiple PSPs (Stripe, Braintree, Adyen). Team Composition: You'll work within a payments squad of 3-4 engineers, collaborating with product and adjacent platform teams. Working conditions Work schedule: US business-hours overlap (between EST and PST time zones); Engagement: long-term, full-time; Fully Remote: This role offers the flexibility to work from anywhere. Interview Process HR Interview: Initial discussion with our recruiter. KITRUM's Technical Interview. Client Interviews: Technical coding round (hands-on Ruby/Rails problem-solving); Hiring Manager round (deep dive into prior projects, system design, and problem-solving). Why you'll love working here Competitive Pay: We offer a compensation that reflects your skills and experience; Remote Flexibility: Work from anywhere - our team is distributed across the globe; Professional Growth: Access to continuous learning opportunities, including paid courses, certifications, mentorship; Work-Life Balance: 30 days of paid vacation and 6 paid sick days per year, plus flexible hours; Inclusive Culture: We embrace diversity and foster a culture of trust, transparency, and mutual respect; Cool Perks: Join our virtual team events, get a budget for your home office setup, and enjoy access to exclusive content and tools.

Hi, we're Smoove, part of the PEXA Group. Our vision is to simplify and revolutionise the home moving and ownership experience for everyone. We are on a mission to deliver products and services that remove the pain, frustration, uncertainty, frictionand stress that the current process creates. We are a leading provider of tech in the property sector - founded in 2003, our product focus has been our conveyancer two sided marketplace, connecting consumers with a range of quality conveyancers to choose from at competitive prices via our easy to use tech platform. We are now building out our ecosystem so consumers can benefit from our services either via their Estate Agent or their Mortgage Broker, through smarter conveyancing platforms, making the home buying or selling process easier, quicker, safer and more transparent. Why join Smoove? Great question! We pride ourselves on attracting, developing and retaining a diverse range of people in an equally diverse range of roles and specialisms - who together achieve outstanding results. Our transparent approach and open door policy make Smoove a great place to work and as our business expands, we are looking for ambitious, talented people to join us. We are seeking an experienced Principal Data Engineer to define, lead, and scale the technical strategy of our data platform. This is a senior, hands on leadership role at the intersection of architecture, governance, and engineering excellence, where you will shape how data is collected, processed, and delivered across the organisation. You will own the end to end quality, performance, and scalability of our data systems - from raw ingestion through to trusted datasets powering business critical analytics and reporting. This includes setting standards and influencing the strategic roadmap for data infrastructure. Our stack is built on both AWS and Azure, using Databricks across data domains and you will lead the evolution of this ecosystem to meet future business needs. You'll ensure that data is secure, compliant, discoverable, and business ready, enabling analysts, data scientists, and stakeholders to make confident, data driven decisions. This role is ideal for a highly technical leader who thrives at both the strategic and execution levels: someone equally comfortable defining architecture with executives, mentoring senior engineers, and optimising distributed pipelines at scale. Role Responsibilities Design and oversee scalable, performant, and secure architectures on Databricks and distributed systems. Anticipate scaling challenges and ensure platforms are future proof. Lead the design and development of robust, high performance data pipelines using PySpark and Databricks. Define and ensure testing frameworks for data workflows. Ensure end to end data quality from raw ingestion to curated, trusted datasets powering analytics. Establish and enforce best practices for data governance, lineage, metadata, and security controls. Ensure compliance with GDPR and other regulatory frameworks. Act as a technical authority and mentor, guiding data engineers. Influence cross functional teams to align on data strategy, standards, and practices. Partner with product, engineering, and business leaders to prioritise and deliver high impact data initiatives. Build a culture of data trust, ensuring downstream analytics and reporting are always accurate and consistent. Evaluate and recommend emerging technologies where they add value to the ecosystem. Skills & Experience Required Broad experience as a Data Engineer including technical leadership. Broad cloud experience, ideally both Azure and AWS. Deep expertise in PySpark and distributed data processing at scale. Extensive experience designing and optimising in Databricks. Advanced SQL optimisation and schema design for analytical workloads. Strong understanding of data security, privacy, and GDPR/PII compliance. Experience implementing and leading data governance frameworks. Proven experience leading the design and operation of a complex data platform. Track record of mentoring engineers and raising technical standards. Ability to influence senior stakeholders and align data initiatives with wider business goals. Strategic mindset with a holistic view of data reliability, scalability, and business value. £80,000 - £100,000 a year Sound like you? We at Smoove are ready so if this role sounds like you, apply today.

Our Principal Data Engineers are responsible for leading and delivering strategically significant, complex client engagements across our portfolio of clients. We believe that great delivery stems from a thorough understanding of our clients and their needs, strong discipline skills and subject matter expertise, excellent leadership and a clear vision of lasting and effective change in a public sector environment. We expect our Principal Data Engineers to bring all of that and enthuse our delivery teams with the same passion. The successful candidate will lead the Data Engineering aspects of our client engagements while overseeing the wider delivery within the account (or industry) when appropriate. They will coach and develop team members on their engagements providing them with detailed performance feedback, as well as monitoring overall delivery to achieve the highest levels of client satisfaction. In addition, our Principal Data Engineers are responsible for engaging with our clients to understand their challenges and build lasting, trusted advisor relationships. They will also oversee multiple, concurrent client deliveries to help ensure quality and drive the sharing of best practice across our engagements and industries. Key responsibilities Our Principal Data Engineers are members of the Data & AI Practice leadership team with the responsibility to develop the capability of the practice to meet business needs and to accelerate the growth of the practice, their account and the wider business. You will be responsible for the practice and service line-specific delivery elements of your engagement/account as well as a shared ownership for the overall delivery of client outcomes. You will leverage your client and delivery insight to support the account and industry teams to identify opportunities and develop client solutions. The right person for this role will do this by combining their technical discipline/craft experience, leadership skills and industry network with Made Tech's unparalleled experience of delivering digital services and digital transformation for the Public Sector. Responsibilities Collaborate with clients to understand their needs, provide solution advice in your role as a trusted advisor and shape solutions that leverage Made Tech's wider capabilities and credentials Assess project performance as a part of the billable delivery team, Quality Assure (QA) the deliverables and outcomes, and ensure client satisfaction. Coach and mentor team members as well as providing direction to enable them to achieve their engagement outcomes and to develop their careers Act as a Technical Authority of the Data & AI capability to provide oversight and ensure alignment with internal and industry best practices. Ensure engagement experience is captured and used to improve standards and contribute to Made Tech knowledge Participate in business development activities, including bids and pre-sales within the account, industry and practice. Coach team members on their contributions and oversee the relevant technical aspects of the proposal submission Undertake people management responsibilities, including performance reviews and professional development of your engagement and practice colleagues Serve as a thought leader within Made Tech, our account engagements and the wider public sector and represent the company at industry events Skills, knowledge and expertise Clients Understanding of the issues and challenges that the public sector faces in delivering services that make the best use of data and digital capabilities, transforming legacy infrastructure, and taking an innovative and user-centric approach Ability to innovate and take learnings from the commercial sector, other countries and advances in technology and apply them to UK Public Sector challenges to create tangible solutions for our clients Experience building trusted advisor relationships with senior client stakeholders within the public sector. Leadership Experience of building and leading high performing, consulting teams and creating the leveraged engagements to provide a cost-effective, profitable, successful client-facing delivery Leadership of bids and solution shaping to produce compelling proposals that help Made Tech win new business and grow the industry Experience of managing third-party partnerships and suppliers (in conjunction with Made Tech colleagues) to provide a consolidated and seamless delivery team to clients. Practice Experience in delivering complex and difficult engagements that span multiple capabilities for user-facing digital and data services in the public sector Experience in identifying opportunities based on client needs and developing targeted solutions to progress the development of the opportunity Experience of working with sales professionals and commercial responsibility for strategic organisational goals. While this is not a hands-on coding technical role, the importance of credibility in approach to digital, data and technology in the public sector cannot be understated. You will be expected to maintain a broad technical knowledge of modern data practices, be able to shape data strategy and roadmaps, and hold others to account for technical quality. Experience working directly with customers and users within a technology consultancy Expertise in shaping data strategy and approaches to quality, ethics and governance. Experience in developing a data capability or function Combining data science, analytics and engineering Strong understanding of various architectures including data warehouses, data lakes, data lake houses and data mesh Strong understanding of best practice DataOps and MLOps Up-to-date understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/or Azure and their data offerings Evidence of self-development - we value keen learners Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. Here are some of our most popular benefits listed below: ️ 30 days Holiday - we offer 30 days of paid annual leave + bank holidays! Remote Working - we offer part time remote working for all our staff Paid counselling - we offer paid counselling as well as financial and legal advice. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility.Eligibility for SC requires 5 years' of continuous UK residency. Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Our hiring process is designed to be thorough, transparent, and supportive, guiding candidates through each step. The exact process may vary slightly depending on the role but these are the typical steps candidates can expect. We'll keep you updated throughout the process and provide helpful feedback at each stage. No matter the outcome, we make sure the feedback is useful and supportive, so you feel informed and can learn from the experience. Register your interest to be notified of any roles that come along that meet your criteria.

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. The impact you will have Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations Extensive years of hands on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit learn, PyTorch, etc. Experience building production grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life long learning, and driving business value through AI Preferred Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Improve the safety, efficiency, and sustainability of the operations that power the global economy. Samsara (NYSE: IOT) is the pioneer of the Connected Operations Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Join Samsara as a Staff Software Engineer, focusing on our Developer Ecosystem and its critical role in the company's broader data and AI strategy. You will be a key technical leader, responsible for architecting and guiding high-impact, cross-functional initiatives that shape the future of our external integrations. This role is pivotal in connecting our core developer products (API, Eventing, Lambdas, Marketplace) to the company's next-generation AI and data platforms. You will be a force-multiplier, empowering our largest enterprise customers and our internal engineering teams to build scalable, intelligent, and deeply integrated solutions on the Samsara platform. This is a remote position open to candidates residing in Poland or the United Kingdom. You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact - helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win - together. In this role, you will: Architect the end-to-end data integration strategy, evolving our high-throughput Eventing platform (Kafka) into a comprehensive data pipeline. Drive the strategy and architecture for our serverless compute (Lambda) capabilities, enabling developers to run complex logic. Establish and champion the technical vision and architectural governance for our external API framework, ensuring consistency, scalability, and a world-class developer experience across all of Samsara's product lines. Act as a technical leader across the organization, mentoring senior engineers, leading design reviews for complex systems, and aligning stakeholders toward a unified technical direction. Partner with senior leadership (Product, Engineering) and our largest enterprise customers to define and execute a multi-year technical vision for Samsara's developer and data platform. Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices. Minimum requirements for the role: Deep, systems-level expertise in designing, building, and operating high-throughput, large-scale data streaming systems (e.g., Kafka). Proven experience in architecting and implementing AI-first data strategies, with a strong understanding of how event streams (Kafka) integrate with data lakes and data warehouses in a modern LakeHouse architecture. Demonstrable experience with serverless compute architectures (e.g., AWS Lambda) and their associated design patterns and trade-offs. Extensive experience in designing, building, and providing governance for large-scale, public-facing APIs (GraphQL preferred). A track record of leading complex, multi-team, and multi-quarter technical initiatives from inception to delivery. An ideal candidate also has: Experience with managed event streaming platforms (e.g., Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub). Deep familiarity with cloud data warehousing and data lake solutions (e.g., Snowflake, Databricks). Experience with ML/AI model deployment and MLOps infrastructure. At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact. Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more. Accommodations Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email or click here if you require any reasonable accommodations throughout the recruiting process. Flexible Working At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable. Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in or . For more information regarding fraudulent employment offers, please visit our blog post here . Samsara's Mission Improve the safety, efficiency, and sustainability of the operations that power the global economy.

Principal Applied AI Engineer Department: Services Employment Type: Permanent Location: Remote, UK Description Colibri Digital is a specialist engineering consultancy delivering advanced data and AI solutions for clients across sectors including finance, healthcare, logistics, government, and technology. As trusted partners of AWS and Databricks, we help organisations design, build, and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption - guiding clients from uncertainty to confident, delivering production grade AI implementation. The Role We're looking for a Principal Applied AI Engineer to shape and build AI systems that make a tangible impact. You'll work closely with clients and cross functional teams to design and deliver scalable, production ready AI capabilities - from intelligent automation to generative applications. This role is ideal for someone who thrives in ambiguity, mentors others with confidence, and enjoys bridging design, engineering, and delivery. Key Responsibilities Lead technical discovery and delivery for AI engineering engagements, taking clients from concept to production. Design, build and deploy applied AI systems that integrate seamlessly with existing software and data platforms. Develop and maintain backend systems, APIs, and frontends in alignment with software engineering best practices. Mentor and develop engineers (both within Colibri and client teams), building capability and confidence. Define and uphold best practices in AI engineering, including robust architecture, testing, and deployment. Partner with data scientists, product managers, and delivery leads to ensure AI solutions are practical, ethical, and aligned with business outcomes. Contribute to Colibri's internal capability development; shaping frameworks, patterns, building reusable code repositories or other assets and thought leadership in applied AI. Represent Colibri as a trusted technical advisor, communicating complex AI concepts clearly to non technical audiences. Skills, Knowledge and Expertise Proven experience in a senior or principal engineering role within an AI technology consultancy or AI driven product organisation, delivering AI models, systems and products to production. Strong foundation in software engineering with hands on experience building and deploying production grade AI or ML enabled systems. Deep understanding of modern cloud and MLOps environments (AWS, Azure, GCP; MLflow, SageMaker, or equivalent). Proficiency in at least one major programming language (Python preferred) and modern software delivery practices (CI/CD, containers, orchestration). Experience mentoring engineers and guiding clients through AI adoption and delivery. Excellent communication and stakeholder management skills, able to lead with empathy and clarity in complex client environments Desirable Experience integrating Generative AI, retrieval augmented generation (RAG), or similar architectures into production systems. Strong background in consultancy, digital transformation, or multi industry project delivery. Contributions to open source projects or AI engineering communities. What you can expect from us Remote first working with flexibility around client needs. Private health insurance Projects with global brands & public sector leaders, working on real world impact A collaborative culture of excellence and continuous improvement Competitive salary, bonus structure, and long term growth opportunities