cloud data engineer

Few&Far

<div>
 
 🚨
 
 Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
 
 🚨
 
 
 
 
 
 I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 
 
 
 
 
 💰
 
 Up to &pound;525 per day
 
 
 
 📍
 
 London - 1 day per week onsite
 
 
 
 📄
 
 Outside IR35
 
 
 
 ⚡
 
 1-stage interview process
 
 
 
 
 
 
 This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 
 
 
 
 
 You'll be working on:
 
 
 ✅ Modernising data lake &amp; data warehouse architecture
 
 
 ✅ Designing, building and optimising ETL/ELT pipelines
 
 
 ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 
 
 ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 
 
 ✅ Writing high-performance SQL and production-quality Python
 
 
 ✅ Improving platform reliability, monitoring and CI/CD
 
 
 ✅ Collaborating with stakeholders to deliver scalable data solutions
 
 
 ✅ Mentoring junior engineers through code reviews and best practices
 
 
 
 
 
 
 Tech Stack:
 
 
 
 ☁️ AWS
 
 
 🐍 Python
 
 
 🗄️ SQL
 
 
 🔄 Airflow (AWS)
 
 
 📊 Looker (nice to have)
 
 
 
 
 
 I'm keen to speak with Data Engineers who have:
 
 
 ✔️ Strong experience building production-grade data pipelines
 
 
 ✔️ Advanced SQL and Python skills
 
 
 ✔️ Experience deploying and supporting ML models in production
 
 
 ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 
 
 
 
 
 If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 
</div>

Senior Data Engineer

NTT DATA

<div>We&rsquo;re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects.
Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women&rsquo;s Business Network, Cultural and Ethnicity Network, LGBTQ+ &amp; Allies Network, Neurodiversity Network and the Parent Network.
For more information on Diversity, Equity and Inclusion please click here: Creating Inclusion Together at NTT DATA UK | NTT DATA
Primary Responsibilities:
<ul><li>Client Engagement &amp; Delivery
</li><li>Data Pipeline Development (Batch and Streaming)
</li><li>Snowflake &amp; Cloud Data Platforms
</li><li>Data Architecture &amp; Modelling
</li><li>Collaboration &amp; Best Practices
</li><li>Quality, Governance &amp; Security 
</li></ul>Business Relationships:
<ul><li>Solution Architects
</li><li>Data Engineers, Developers, ML Engineers and Analysts
</li><li>Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership
</li></ul>Competencies / Critical Skills: 

<ul><li>Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms.
</li><li>Strong consulting values with ability to collaborate effectively in client-facing environments.
</li><li>Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
</li><li>Strong problem-solving, analytical, and communication skills.
</li><li>Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions. 
</li></ul>Technical Expertise:
<ul><li>Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
</li><li>Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
</li><li>Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
</li><li>Hands-on experience with cloud platforms (AWS, Azure, GCP).
</li><li>Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
</li><li>Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
</li><li>Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
</li><li>Understanding of data governance, security, and compliance frameworks.
</li><li>Exposure to AI/ML workloads desirable. 
</li></ul>Experience, Qualifications, and Education:
<ul><li>Experience: Minimum 5&ndash;8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake.
</li><li>Education: University degree required.
</li><li>Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
</li><li>Snowflake certifications (SnowPro Core, Advanced) highly desirable. 
</li></ul>Measures of Success:
<ul><li>Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
</li><li>High client satisfaction and successful adoption of Snowflake-based solutions.
</li><li>Demonstrated ability to innovate and improve data engineering practices.
</li><li>Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
</li></ul>We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
You can find more information about NTT DATA UK &amp; Ireland here: https://uk.nttdata.com/
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data &amp; AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients. 
 
As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.</div>

Snowflake Data Engineer

JPMorganChase

<div>JOB DESCRIPTION 
 
 
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Lead Data Engineer at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology.
Our engineers are naturally solution-oriented and possess an interest in the financial sector and focus
 
on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending,
 
customer onboarding, core banking, and insurance to understand their product datamodels and deliver tailored data solutions that meet business needs. 
 
<div>Job responsibilities
 
<ul><li>Deliver end-to-end data pipeline solutions on cloud infrastructure leveraging the
</li></ul>latest technologies and the best industry practices
 
<ul><li>Use domain modelling techniques to allow us to build best in class business
</li></ul>products.
 
<ul><li>Structure software so that it is easy to understand, test and evolve.
</li><li>Build solutions that avoid single points of failure, using scalable architectural
</li></ul>patterns.
 
<ul><li>Develop secure code so that our customers and ourselves are protected from
</li></ul>malicious actors.
 
<ul><li>Promptly investigate and fix issues and ensure they do not resurface in the future.
</li><li>Make sure our releases happen with zero downtime for our end-users.
</li><li>See that our data is written and read in a way that's optimized for our needs.
</li><li>Keep an eye on performance, making sure we use the right approach to identify
</li></ul>and solve problems.
 
<ul><li>Ensure our systems are reliable and easy to operate.
</li><li>Keep us up to date by continuously updating our technologies and patterns.
</li><li>Support the products you've built through their entire lifecycle, including in
</li></ul>production and during incident management 
 
</div><div>Required qualifications, capabilities &amp; skills 
<ul><li>Formal training or certification on data engineering concepts and applied
</li></ul>experience
 
<ul><li>Recent hands-on professional experience as a data engineer
</li><li>Experience in coding in a recent version of the Python programming language
</li><li>Experience in designing and implementing effective tests (unit, component,
</li></ul>integration, end-to-end, performance, etc.)
 
<ul><li>Excellent written and verbal communication skills in English
</li><li>Experience with cloud technologies and distributed systems
</li><li>Experience with data transformation frameworks and data pipeline orchestration
</li></ul>tools
 
<ul><li>Experience with managing large volumes of data and optimizing data processing
</li><li>Understanding of event-base architecture, data streaming and messaging
</li></ul>frameworks
 
<ul><li>Coach other team members on coding practices, design principles, and
</li></ul>implementation patterns that lead to high-quality maintainable solutions.
 
<ul><li>Manage stakeholders and effectively prioritize work across multiple work
</li></ul>streams. 
 
</div><div>Preferred qualifications, capabilities &amp; skills
 
<ul><li>Experience in working in a highly regulated environment / industry
</li><li>Experience with AWS cloud technologies
</li><li>Experience with data governance frameworks
</li><li>Understanding of incremental data processing and versioning
</li><li>Understanding of RESTful APIs and web technologies 
</li></ul></div>#ICBEngineering #ICBCareers
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Lead Data Engineer — International Consumer Bank (Chase UK)

Legal & General

<div>
 
 Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
 
 
 
 
 
 We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
 
 
 
 
 
 We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
 
 
 
 
 
 
 Who we are
 
 
 
 
 
 
 Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
 
 
 
 
 We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
 
 
 
 
 We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We&rsquo;re building a modern, enterprise‑scale data platform that helps our Retail business make smarter, data‑driven decisions every day. Our Data Operations team enables this by designing, running and continuously improving the Retail &amp; Analytics Data Hub (RADH), a strategic data platform at the heart of analytics and reporting.
 
 
 
 
 We&rsquo;re looking for a Platform Specialist to take technical ownership of RADH and help shape its future. This is a great opportunity for someone who enjoys working at the intersection of platform engineering, data architecture and Snowflake innovation, and who wants to influence how data platforms evolve at scale.
 
 
 
 
 
 What you'll be doing:
 
 
 
 
 <ul>
 <li>
 Leading the ongoing development of the Retail &amp; Analytics Data Hub as a strategic enterprise data platform
 </li>
 <li>
 Introducing and optimising Snowflake capabilities to improve performance, scalability and reliability
 </li>
 <li>
 Acting as a Snowflake subject matter expert, shaping best practice across the organisation
 </li>
 <li>
 Improving automation through CI/CD pipelines, infrastructure as code and orchestration frameworks
 </li>
 <li>
 Embedding observability across the platform, including monitoring, alerting, lineage and data quality
 </li>
 <li>
 Implementing and influencing robust governance, security and access controls in partnership with Information Security
 </li>
 <li>
 Collaborating with engineers, analysts and product teams to support platform adoption and delivery
 </li>
 <li>
 Optimising platform costs while maintaining agreed service levels for availability, performance and data quality
 </li>
 </ul>
 
 
 Who we're looking for:
 
 
 
 
 <ul>
 <li>
 Strong experience in data platform or data engineering roles within cloud environments
 </li>
 <li>
 Deep hands‑on knowledge of Snowflake and its core features and capabilities
 </li>
 <li>
 Confidence working with SQL and modern data engineering tooling and patterns
 </li>
 <li>
 Experience designing or supporting enterprise‑scale data platforms and architectures
 </li>
 <li>
 Understanding of data governance, security, access management and compliance
 </li>
 <li>
 Ability to communicate complex technical topics to both technical and non‑technical audiences
 </li>
 <li>
 A collaborative mindset with a desire to support and enable others
 </li>
 <li>
 Curiosity, adaptability and an interest in continuous improvement and emerging technologies
 </li>
 </ul>
 
 
 Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
 
 
 
 
 <ul>
 <li>
 The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
 </li>
 <li>
 Generous pension contribution
 </li>
 <li>
 Life assurance
 </li>
 <li>
 Healthcare Plan (permanent employees only)
 </li>
 <li>
 At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday
 </li>
 <li>
 Competitive family leave
 </li>
 <li>
 Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
 </li>
 <li>
 There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online
 </li>
 <li>
 We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
 
 
 
 
 If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
 
 
 
 
 We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
 
 
 
 
 It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
 
</div>

Platform Specialist

ByDesign Secure

This role is delivered within secure environments. Candidates must be eligible for UK Security Clearance (SC and DV) and hold UK Citizenship.Opening: Join the MissionAt ByDesign Secure, we design and deliver secure-by-default digital platforms for high‑assurance environments. We are currently building a new secure cloud platform based on Google Distributed Cloud (GDC) and are looking for a Security Engineer (SIEM) to lead the design and implementation of its security monitoring and observability capabilities.This role offers the opportunity to build a SIEM capability from the ground up, influence security architecture decisions, and directly support SOC operations protecting critical public‑sector services.About the OpportunityAs a Security Engineer (SIEM) at ByDesign Secure, you will be responsible for building and enhancing our security monitoring and detection capabilities across complex environments. You will design and maintain SIEM use cases, onboard and normalise data sources, and continuously tune detections to improve threat visibility and response.Working closely with incident response and platform teams, you will turn security data into actionable insight, helping to strengthen detection coverage, reduce noise, and advance the organisation&rsquo;s overall security maturity.Role Purpose<ul><li>As a Security Engineer, you will be responsible for designing, building, and operating the Security Information and Event Management (SIEM) and security observability stack for a new GDC‑based platform.</li><li>You will:</li><li>Define how security logs, metrics, alerts, and telemetry are collected, processed, retained, and visualised.</li><li>Establish a cloud-native SIEM tool and monitoring capability.</li><li>Integrate cloud‑native monitoring with existing on‑premise SOC tooling.</li><li>Enable SOC analysts by providing reliable, actionable security insights.</li><li>You will work closely with cloud engineers, security architects, SOC teams, and external vendors to ensure the solution meets security, operational, and compliance requirements.</li></ul>What You&rsquo;ll Be DoingSIEM Architecture &amp; Design<ul><li>Work with security and solution architects to design the end‑to‑end SIEM architecture for a secure Google Distributed Cloud (GDC) environment.</li><li>Define log, event and telemetry standards across platform, infrastructure, Kubernetes, and application layers.</li><li>Decide which data sources are monitored locally versus forwarded to an existing on‑prem SIEM.</li></ul>SIEM Implementation &amp; Integration<ul><li>Deploy Elastic SIEM using standard or shared Kubernetes clusters where appropriate.</li><li>Configure secure log forwarding from GDC components to an on‑prem SIEM over dedicated, encrypted network links.</li><li>Integrate cloud audit logs, Kubernetes logs, workload logs, and security tooling into Elastic and on‑prem platforms.</li></ul>Detection Engineering &amp; SOC Enablement<ul><li>Implement detections‑as‑code, version‑controlled and automated through CI/CD pipelines.</li><li>Create and tune detection rules, alerts, and dashboards for SOC analysts.</li><li>Align detections with threat intelligence and playbooks (e.g. Mandiant‑aligned SOC workflows).</li></ul>Observability &amp; Troubleshooting<ul><li>Support monitoring of logs, metrics, and security signals to aid both security response and operational debugging.</li><li>Enable Platform Admins and Application Operators to self‑serve diagnostics while maintaining security boundaries.</li></ul>Documentation &amp; Guidance<ul><li>Produce clear guidance for:</li><li>Platform Administrators configuring SIEM integrations</li><li>Application teams onboarding workloads and logs</li><li>SOC analysts using dashboards, alerts, and queries</li><li>Contribute to runbooks, operational procedures, and incident response documentation.</li></ul>Security &amp; Compliance<ul><li>Ensure logging and monitoring meet UK Government and high‑assurance security requirements.</li><li>Support audits, assurance activities, and continuous improvement of the monitoring posture.</li></ul>What You&rsquo;ll BringEssential Skills &amp; Experience<ul><li>Strong experience as a Security Engineer, Detection Engineer or SIEM Engineer.</li><li>Hands‑on experience designing or operating SIEM solutions in cloud or hybrid environments.</li><li>Practical knowledge of Elastic SIEM / Elastic Stack, including:</li><li>Indexing and ingest pipelines</li><li>Detection rules and alerts</li><li>Dashboards and visualisations</li><li>Experience working with Kubernetes environments and their logging/monitoring patterns.</li><li>Familiarity with secure log forwarding, encryption, and network‑restricted environments.</li><li>Ability to work closely with SOC teams and translate security requirements into technical implementations.</li></ul>Cloud &amp; Platform Knowledge<ul><li>Experience with Google Cloud Platform (GCP) or Google Distributed Cloud (GDC).</li><li>Understanding of cloud audit logs, identity logs, and platform‑level telemetry.</li><li>Experience deploying tools through cloud marketplaces or CI/CD pipelines.</li></ul>Ways of Working<ul><li>Comfortable working in high‑assurance, regulated environments.</li><li>Strong documentation and communication skills.</li><li>Able to work independently and take ownership of complex security integrations.</li></ul>Bonus Points For<ul><li>Existing UK Government Security Clearance (SC or above)</li><li>Hands‑on experience with Elastic Cloud on Kubernetes (ECK).</li><li>Experience implementing detections as code using Git, CI/CD, and infrastructure‑as‑code.</li><li>Knowledge of threat frameworks.</li><li>Familiarity with UK Government security standards and assurance processes</li></ul>Clearance Requirements:<ul><li>This role requires either an existing Security Clearance (SC level) or for one to be passed before commencement. There must be a willingness to undergo Developed Vetting (DV)</li></ul>Work Location: Hybrid remote in LondonJob Types: Temporary, Fixed term contractJob Types: Fixed term contract, TemporaryPay: &pound;625.00 per dayApplication question(s):<ul><li>Do you currently hold active UK SC clearance? </li><li>Do you hold UK nationality? (Required due to client security restrictions) </li><li>Are you eligible and willing to undergo UK SC/DV clearance for this role? (Applications without this cannot be considered)</li><li>Does your delivery approach allow for on-site presence in London when required (typically around 3 days per week)?</li></ul>Work Location: Hybrid remote in London

Security Engineer (SIEM) – SC Eligible – Government Projects

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.</li>
<li>3 years of experience building machine learning solutions and working with technical customers.</li>
<li>Experience designing cloud enterprise solutions and supporting customer projects to completion.</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience working with recommendation engines, data pipelines, or distributed machine learning.</li>
<li>Experience with deep learning frameworks (e.g., TensorFlow, XGBoost).</li>
<li>Understanding of the auxiliary practical concerns in production machine learning systems.</li>
<li>Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. 

As a Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work closely with product management and product engineering to build and constantly drive excellence in our products. 
 
In this role, you are the Google engineer working with Google's largest and most motivated Cloud customers. Together with the team you will support customer implementation of Google Cloud products through architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more. 
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.</li>
<li>Coach customers on the practical challenges in machine learning systems feature extraction and feature definition, data validation, monitoring, and management of features and models.</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.</li>
<li>Create and deliver best practice recommendations, tutorials, blog articles, and sample code.</li>
<li>Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI Infrastructure Engineer

Information Tech Consultants

<div>
 
 
 Job Title:
 
 Data Scientist/Machine Learning Engineer
 
 
 
 Location:
 
 UK
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 Education:
 
 Master's in Science (IT/Computer Science/Engineer)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 UK based candidates only.
 
 
 
 Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 2-4 years of experience in Data science/Machine learning models from coding to deployment.
 </li>
 <li>
 Work with datasets using Python or R, SQL, No SQL.
 </li>
 <li>
 Assist in developing predictive and statistical models
 </li>
 <li>
 Write and optimize queries using SQL.
 </li>
 <li>
 Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
 </li>
 <li>
 Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
 </li>
 </ul>
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Hands on experience in coding (mandatory python and SQL or C++).
 </li>
 <li>
 Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
 </li>
 <li>
 Familiarity working with large data sets.
 </li>
 <li>
 Project Management background preferred.
 </li>
 </ul>
 
 
 
 
 
 Qualifications :
 
 
 <ul>
 <li>
 
 Master&rsquo;s (Required)
 
 in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
 </li>
 <li>
 You should be entitled to work in the UK with legal work authorization status.
 </li>
 <li>
 Must be willing to travel within the UK as per project/client requirements.
 </li>
 <li>
 Excellent communication skills and teamwork skills.
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer

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