A leading energy company in the UK is seeking a Senior Staff Machine Learning Engineer to lead the development of its proprietary pricing engine, Rosso. This role focuses on optimising energy transactions at scale and requires deep expertise in machine learning and cloud-based systems. The position offers competitive salary, stock options, and extensive remote working arrangements including well-being budgets and flexible hours.
03/02/2026
Full time
A leading energy company in the UK is seeking a Senior Staff Machine Learning Engineer to lead the development of its proprietary pricing engine, Rosso. This role focuses on optimising energy transactions at scale and requires deep expertise in machine learning and cloud-based systems. The position offers competitive salary, stock options, and extensive remote working arrangements including well-being budgets and flexible hours.
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: Do you want to work on one of the biggest problems of our time - reducing the cost of transacting electricity at scale? Energy is a first-principles input into everything: the cost of compute, the speed of AI progress, the competitiveness of nations, and even access to basic human rights. Today's energy markets are inefficient, opaque, and expensive - and we're building the intelligence layer that will change that. We're looking for a Senior Staff Machine Learning Engineer to become the technical owner of Rosso, our proprietary pricing engine and core IP. Rosso is designed to solve hard, unproven problems in optimisation and risk measurement: how do we price and fulfil energy tenders across thousands of assets, in real time, while balancing portfolio risk and unlocking access to renewables at scale? This is a greenfield problem space - you'll have the opportunity to build from first principles, shaping strategy, architecture, and modelling approach. You'll lead the research and development of new optimisation and ML capabilities, bring state-of-the-art methods into production, and establish Rosso as the engine that powers transparent, low-cost, renewable energy markets. Responsibilities: Own the Rosso engine: Take full technical ownership of our core pricing IP, setting the research and development strategy and ensuring continuous improvement. Build with impact: Design, implement, and deploy machine learning and optimisation models that power real-time pricing decisions at scale. Advance the science: Lead experimentation on new modelling approaches, optimisation techniques, and risk measurement frameworks to move Rosso forwards. Mentor and elevate: Provide technical mentorship to ML engineers and data scientists, raising the bar for research practices, code quality, and delivery. Shape the roadmap: Translate business needs into a clear technical roadmap for Rosso, defining success metrics and ensuring alignment with company objectives. Collaborate widely: Partner with product managers, engineers, and commercial teams to bring Rosso's capabilities to life in market-facing products. Stay ahead: Consistently evaluate and integrate the latest advances in academia and industry to keep Rosso at the cutting edge. Requirements: Must-Haves: Deep ML expertise: extensive professional experience in data science or ML engineering, with a proven record of taking complex models into production. End-to-end ownership: Hands-on experience designing, building, and operating large-scale cloud-based ML systems. Technical leadership: Ability to set strategy, provide mentorship, and establish best practices without direct people management responsibility. First principles thinker: Comfortable reasoning from the ground up in greenfield spaces with limited precedent. Collaborative communicator: Skilled at breaking down complex concepts for both technical and non-technical stakeholders. Product impact mindset: Proven ability to translate business needs into technical solutions that deliver measurable outcomes. Desirable: PhD or equivalent research experience in applied mathematics, operations research, or machine learning. Experience linear programming, optimisation, risk management, and pricing systems. Experience with time series forecasting, Bayesian methods, or causal inference. Track record of IP or platform-level ownership. Familiarity with energy markets, trading, or grid operations. Experience with cloud platforms (AWS preferred) and MLOps practices. Benefits & Perks: Competitive salary - our current band for this role is £130,000 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 3-4 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 min). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (2x 45 mins). You'll meet members of the team, and one of our Co-Founders, to dig into your technical skills around modelling and machine learning engineering. Culture-Add Interview with Stakeholders (45 min). The final session will be with our CEO and CTO, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
03/02/2026
Full time
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: Do you want to work on one of the biggest problems of our time - reducing the cost of transacting electricity at scale? Energy is a first-principles input into everything: the cost of compute, the speed of AI progress, the competitiveness of nations, and even access to basic human rights. Today's energy markets are inefficient, opaque, and expensive - and we're building the intelligence layer that will change that. We're looking for a Senior Staff Machine Learning Engineer to become the technical owner of Rosso, our proprietary pricing engine and core IP. Rosso is designed to solve hard, unproven problems in optimisation and risk measurement: how do we price and fulfil energy tenders across thousands of assets, in real time, while balancing portfolio risk and unlocking access to renewables at scale? This is a greenfield problem space - you'll have the opportunity to build from first principles, shaping strategy, architecture, and modelling approach. You'll lead the research and development of new optimisation and ML capabilities, bring state-of-the-art methods into production, and establish Rosso as the engine that powers transparent, low-cost, renewable energy markets. Responsibilities: Own the Rosso engine: Take full technical ownership of our core pricing IP, setting the research and development strategy and ensuring continuous improvement. Build with impact: Design, implement, and deploy machine learning and optimisation models that power real-time pricing decisions at scale. Advance the science: Lead experimentation on new modelling approaches, optimisation techniques, and risk measurement frameworks to move Rosso forwards. Mentor and elevate: Provide technical mentorship to ML engineers and data scientists, raising the bar for research practices, code quality, and delivery. Shape the roadmap: Translate business needs into a clear technical roadmap for Rosso, defining success metrics and ensuring alignment with company objectives. Collaborate widely: Partner with product managers, engineers, and commercial teams to bring Rosso's capabilities to life in market-facing products. Stay ahead: Consistently evaluate and integrate the latest advances in academia and industry to keep Rosso at the cutting edge. Requirements: Must-Haves: Deep ML expertise: extensive professional experience in data science or ML engineering, with a proven record of taking complex models into production. End-to-end ownership: Hands-on experience designing, building, and operating large-scale cloud-based ML systems. Technical leadership: Ability to set strategy, provide mentorship, and establish best practices without direct people management responsibility. First principles thinker: Comfortable reasoning from the ground up in greenfield spaces with limited precedent. Collaborative communicator: Skilled at breaking down complex concepts for both technical and non-technical stakeholders. Product impact mindset: Proven ability to translate business needs into technical solutions that deliver measurable outcomes. Desirable: PhD or equivalent research experience in applied mathematics, operations research, or machine learning. Experience linear programming, optimisation, risk management, and pricing systems. Experience with time series forecasting, Bayesian methods, or causal inference. Track record of IP or platform-level ownership. Familiarity with energy markets, trading, or grid operations. Experience with cloud platforms (AWS preferred) and MLOps practices. Benefits & Perks: Competitive salary - our current band for this role is £130,000 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 3-4 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 min). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (2x 45 mins). You'll meet members of the team, and one of our Co-Founders, to dig into your technical skills around modelling and machine learning engineering. Culture-Add Interview with Stakeholders (45 min). The final session will be with our CEO and CTO, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: We're looking for a Staff Engineer to accelerate product delivery and enable scale across our customer acquisition and customer success platforms. You'll contribute through hands on coding, drive architectural direction, and raise the technical bar across the team. In your first 12 months, you'll lead the development of systems that redefine how brokers, customers, and internal teams interact with energy services - from real time pricing workflows to intuitive self serve tools. You'll help us launch new products that streamline onboarding, improve service transparency, and lay the groundwork for rapid, sustainable growth. Responsibilities: Build with impact: Architect and deliver end to end systems, from internal automation to customer facing portals, ensuring they are scalable, fast, and user friendly. Own the platform: Improve and extend core platforms and developer tooling, making it easier for teams to build, test, and ship quality software. Drive innovation: Rapidly prototype and iterate on new workflows and product ideas that expand our offering and improve the broker and customer journey. Partner cross functionally: Collaborate with Product Managers, Designers, and other Engineers to scope, design, and deliver high impact solutions. Raise the bar: Lead by example through code reviews, mentorship, and championing engineering best practices across the team. Requirements: Must Haves: Track record in fast paced environments: Experience as a Senior or Staff Engineer in a high growth startup or scale up, with a strong bias toward shipping. System design at scale: Proven ability to design and build complex systems that power both back end automation and front end experiences. Modern tech expertise: Deep experience with Python, Node.js, and AWS serverless architecture (e.g., Lambda, API Gateway, DynamoDB). Front end capabilities: Skilled in developing responsive, performant front ends using modern JavaScript frameworks such as React. Product minded mindset: Experience working closely with product and design teams to solve user problems, not just deliver features. Can deal with ambiguity: Comfortable navigating changing priorities and incomplete information to make strong technical decisions. Desirable: Exposure to the energy sector or other regulated industries. Experience building internal tools or platforms for brokers, sales teams, or support agents. Familiarity with real time data processing or agentic/AI driven systems. Benefits & Perks: Competitive salary - our current band for this role is £101,000 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Engineering Managers (60 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (75 Mins). You'll meet with potential peers in this session and will discuss technical topics and experiences. Culture-Add Interview with Stakeholders (45 Mins). The final session will be with two cross functional stakeholders, and will explore how your values align with ours, and is designed to a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
03/02/2026
Full time
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: We're looking for a Staff Engineer to accelerate product delivery and enable scale across our customer acquisition and customer success platforms. You'll contribute through hands on coding, drive architectural direction, and raise the technical bar across the team. In your first 12 months, you'll lead the development of systems that redefine how brokers, customers, and internal teams interact with energy services - from real time pricing workflows to intuitive self serve tools. You'll help us launch new products that streamline onboarding, improve service transparency, and lay the groundwork for rapid, sustainable growth. Responsibilities: Build with impact: Architect and deliver end to end systems, from internal automation to customer facing portals, ensuring they are scalable, fast, and user friendly. Own the platform: Improve and extend core platforms and developer tooling, making it easier for teams to build, test, and ship quality software. Drive innovation: Rapidly prototype and iterate on new workflows and product ideas that expand our offering and improve the broker and customer journey. Partner cross functionally: Collaborate with Product Managers, Designers, and other Engineers to scope, design, and deliver high impact solutions. Raise the bar: Lead by example through code reviews, mentorship, and championing engineering best practices across the team. Requirements: Must Haves: Track record in fast paced environments: Experience as a Senior or Staff Engineer in a high growth startup or scale up, with a strong bias toward shipping. System design at scale: Proven ability to design and build complex systems that power both back end automation and front end experiences. Modern tech expertise: Deep experience with Python, Node.js, and AWS serverless architecture (e.g., Lambda, API Gateway, DynamoDB). Front end capabilities: Skilled in developing responsive, performant front ends using modern JavaScript frameworks such as React. Product minded mindset: Experience working closely with product and design teams to solve user problems, not just deliver features. Can deal with ambiguity: Comfortable navigating changing priorities and incomplete information to make strong technical decisions. Desirable: Exposure to the energy sector or other regulated industries. Experience building internal tools or platforms for brokers, sales teams, or support agents. Familiarity with real time data processing or agentic/AI driven systems. Benefits & Perks: Competitive salary - our current band for this role is £101,000 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Engineering Managers (60 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (75 Mins). You'll meet with potential peers in this session and will discuss technical topics and experiences. Culture-Add Interview with Stakeholders (45 Mins). The final session will be with two cross functional stakeholders, and will explore how your values align with ours, and is designed to a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: Do you want to work on one of the biggest problems of our time - how we make energy systems transparent, affordable, and powered by renewables? Energy data underpins everything we do at tem, from pricing intelligence to customer success, and we're building a team that can turn raw numbers into powerful decisions. We're looking for a Staff Data Analyst to become the voice of data across tem, acting in a principle capacity without being weighed down by management. This is a pivotal role: you'll partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision making. From analysing feature impact, to sizing new commercial opportunities, to understanding churn and broker performance, your work will shape the future of our product and business. This role sits at the intersection of analytics, storytelling, and strategy - you'll pair technical depth with creativity and influence, ensuring data becomes a true competitive advantage for tem. Responsibilities: Partner with stakeholders: Collaborate with Product, Finance, Marketing, and Customer Success to translate challenges into analytical solutions. Create insights that drive action: Deliver in depth analyses that inform product, commercial, and customer decisions. Standardise metrics and dashboards: Establish consistent definitions and clear visualisations to make data accessible across the business. Champion data driven decision making: Advocate for better use of data and empower non technical colleagues to self serve. Shape the stack: Influence the evolution of our analytics tools and processes as tem scales. Mentor and elevate: Guide junior analysts, raising the bar for technical quality and storytelling. Collaborate cross functionally: Ensure data insights flow seamlessly between the data team, engineering, and business units. Requirements: Must Haves: Proven experience: Multiple years in data analytics and experienced in influencing decisions in a fast paced environment. Collaborative communicator: Skilled at working across technical and non technical teams. Technical depth: Strong SQL skills, experience with modern analytics stacks (dbt, Looker/Tableau, or similar technologies), and a solid understanding of Python. Data storytelling: Ability to simplify complex analysis into clear, compelling narratives and visuals. Business acumen: Comfortable with product impact analysis, commercial sizing, churn analysis, and performance measurement. Mentorship: Experience coaching junior analysts and setting high standards for analysis. Desirable: Experience defining metrics frameworks at scale. Familiarity with energy markets, fintech, or climate tech. Exposure to BI and data adoption initiatives. Benefits & Perks: Competitive salary - our current band for this role is £94,500 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 3-4 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 min). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Data Manager (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (60 min). You'll meet members of the team, in a hands on session, focused on analysis, problem solving, and visualisation. Culture Add Interview with Stakeholders (45 min). The final session will be with one of our Co Founders, and a cross functional peer, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
03/02/2026
Full time
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: Do you want to work on one of the biggest problems of our time - how we make energy systems transparent, affordable, and powered by renewables? Energy data underpins everything we do at tem, from pricing intelligence to customer success, and we're building a team that can turn raw numbers into powerful decisions. We're looking for a Staff Data Analyst to become the voice of data across tem, acting in a principle capacity without being weighed down by management. This is a pivotal role: you'll partner with Product, Finance, Marketing, and Customer Success to unlock insights, define metrics, and standardise how data drives decision making. From analysing feature impact, to sizing new commercial opportunities, to understanding churn and broker performance, your work will shape the future of our product and business. This role sits at the intersection of analytics, storytelling, and strategy - you'll pair technical depth with creativity and influence, ensuring data becomes a true competitive advantage for tem. Responsibilities: Partner with stakeholders: Collaborate with Product, Finance, Marketing, and Customer Success to translate challenges into analytical solutions. Create insights that drive action: Deliver in depth analyses that inform product, commercial, and customer decisions. Standardise metrics and dashboards: Establish consistent definitions and clear visualisations to make data accessible across the business. Champion data driven decision making: Advocate for better use of data and empower non technical colleagues to self serve. Shape the stack: Influence the evolution of our analytics tools and processes as tem scales. Mentor and elevate: Guide junior analysts, raising the bar for technical quality and storytelling. Collaborate cross functionally: Ensure data insights flow seamlessly between the data team, engineering, and business units. Requirements: Must Haves: Proven experience: Multiple years in data analytics and experienced in influencing decisions in a fast paced environment. Collaborative communicator: Skilled at working across technical and non technical teams. Technical depth: Strong SQL skills, experience with modern analytics stacks (dbt, Looker/Tableau, or similar technologies), and a solid understanding of Python. Data storytelling: Ability to simplify complex analysis into clear, compelling narratives and visuals. Business acumen: Comfortable with product impact analysis, commercial sizing, churn analysis, and performance measurement. Mentorship: Experience coaching junior analysts and setting high standards for analysis. Desirable: Experience defining metrics frameworks at scale. Familiarity with energy markets, fintech, or climate tech. Exposure to BI and data adoption initiatives. Benefits & Perks: Competitive salary - our current band for this role is £94,500 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 3-4 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 min). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Data Manager (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (60 min). You'll meet members of the team, in a hands on session, focused on analysis, problem solving, and visualisation. Culture Add Interview with Stakeholders (45 min). The final session will be with one of our Co Founders, and a cross functional peer, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
A renewable energy firm is seeking a Staff Data Analyst to revolutionize energy systems through data transparency. In this pivotal role, you'll partner with stakeholders like Product and Finance to derive insights and define metrics. You will use your strong SQL skills and data storytelling abilities to influence decisions and mentor junior analysts. The position offers a competitive salary of £94,500, remote working options, and a dynamic, flexible environment that prioritizes wellbeing and professional growth.
03/02/2026
Full time
A renewable energy firm is seeking a Staff Data Analyst to revolutionize energy systems through data transparency. In this pivotal role, you'll partner with stakeholders like Product and Finance to derive insights and define metrics. You will use your strong SQL skills and data storytelling abilities to influence decisions and mentor junior analysts. The position offers a competitive salary of £94,500, remote working options, and a dynamic, flexible environment that prioritizes wellbeing and professional growth.
A pioneering energy company in the UK is looking for a Workflow Engineer who will focus on building operational automation. This role demands experience in automation roles, API integration, and low-code platforms. The successful candidate will automate workflows, partner closely with experts to translate manual tasks into systems, and ensure efficient processes. The company offers a competitive salary range of £50,000 - £70,000 along with benefits such as stock options, flexible working, and wellness budgets.
03/02/2026
Full time
A pioneering energy company in the UK is looking for a Workflow Engineer who will focus on building operational automation. This role demands experience in automation roles, API integration, and low-code platforms. The successful candidate will automate workflows, partner closely with experts to translate manual tasks into systems, and ensure efficient processes. The company offers a competitive salary range of £50,000 - £70,000 along with benefits such as stock options, flexible working, and wellness budgets.
A pioneering energy company in the UK seeks a Staff Engineer to accelerate product delivery and enhance customer success platforms. This role will involve hands-on coding, architecture development, and driving innovation across systems. The ideal candidate will have experience in a high-growth environment, deep expertise in Python and AWS, and a product-minded mindset. This position offers competitive pay, stock options, and flexible remote working arrangements, creating a dynamic environment to shape the future of energy transactions.
03/02/2026
Full time
A pioneering energy company in the UK seeks a Staff Engineer to accelerate product delivery and enhance customer success platforms. This role will involve hands-on coding, architecture development, and driving innovation across systems. The ideal candidate will have experience in a high-growth environment, deep expertise in Python and AWS, and a product-minded mindset. This position offers competitive pay, stock options, and flexible remote working arrangements, creating a dynamic environment to shape the future of energy transactions.
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: We're looking for Senior Full Stack Engineers to design and build the systems that power tem's core products and internal platforms. We're hiring across several teams - including Platform, Billings, Payments, Customer Acquisition, and Customer Success - all of which play a critical role in how we deliver seamless, modern energy technology. As a Senior Engineer, you'll help shape the architecture and build the features that enable brokers, customers, and internal teams to work smarter and faster. Depending on your team, this could mean anything from enhancing developer tooling and shared services, to building scalable billing and payments infrastructure, to delivering intuitive customer-facing experiences that support acquisition and retention. In your first 12 months, you might: Lead development of customer- and broker-facing portals that make complex energy workflows simple. Build and evolve billing and payments systems that are reliable, transparent, and ready for scale. Improve developer experience and platform foundations - including tooling, CI/CD, shared services, and automation. Streamline internal operations through intelligent workflows, dashboards, and integrations. Across all teams, you'll be joining a group that values ownership, clarity, and impact - and you'll play a key role in building the systems that enable us to grow rapidly and serve customers exceptionally well. Responsibilities: Build with impact: Develop full-stack features across modern front-end frameworks and serverless back-end systems, with a focus on performance, reliability, and usability. Shape the experience: Build intuitive, high-quality interfaces and tools that improve the way customers and brokers interact with our platform. Improve how we ship: Contribute to internal tooling, frameworks, and engineering workflows that help us deliver faster and with greater confidence. Collaborate cross-functionally: Partner with Product, Design, and other Engineers to design thoughtful, user-centred solutions to complex problems. Maintain high standards: Write clean, well-tested code, contribute to code reviews, and help improve team practices and documentation. Requirements: Must-Haves: Proven product delivery experience: Experience as a Full Stack Engineer in a startup or fast-paced product environment, with ownership of key projects from start to finish. Front- and back-end fluency: Strong experience with Python and/or Node.js, and modern JavaScript frameworks like React. Cloud-native skills: Experience working with AWS services, especially serverless tools like Lambda, API Gateway, and DynamoDB. User-focused mindset: Comfortable turning product and user problems into simple, elegant technical solutions. Team-first approach: Experience working in cross-functional teams where Engineers, Designers, and Product Managers collaborate closely. Desirable: Experience building platforms or tools for brokers, sales partners, or operational teams. Exposure to the energy sector or other regulated industries. Familiarity with real-time data systems or internal workflow automation. Benefits & Perks: Competitive salary - our current band for this role is £81,300 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Engineering Managers (60 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 Mins). You'll meet with potential peers in this session and will discuss technical topics and experiences. Culture-Add Interview with Stakeholders (45 Mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
02/02/2026
Full time
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward-thinking companies, from Pizza Pilgrims to Silverstone. Backed by top-tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: We're looking for Senior Full Stack Engineers to design and build the systems that power tem's core products and internal platforms. We're hiring across several teams - including Platform, Billings, Payments, Customer Acquisition, and Customer Success - all of which play a critical role in how we deliver seamless, modern energy technology. As a Senior Engineer, you'll help shape the architecture and build the features that enable brokers, customers, and internal teams to work smarter and faster. Depending on your team, this could mean anything from enhancing developer tooling and shared services, to building scalable billing and payments infrastructure, to delivering intuitive customer-facing experiences that support acquisition and retention. In your first 12 months, you might: Lead development of customer- and broker-facing portals that make complex energy workflows simple. Build and evolve billing and payments systems that are reliable, transparent, and ready for scale. Improve developer experience and platform foundations - including tooling, CI/CD, shared services, and automation. Streamline internal operations through intelligent workflows, dashboards, and integrations. Across all teams, you'll be joining a group that values ownership, clarity, and impact - and you'll play a key role in building the systems that enable us to grow rapidly and serve customers exceptionally well. Responsibilities: Build with impact: Develop full-stack features across modern front-end frameworks and serverless back-end systems, with a focus on performance, reliability, and usability. Shape the experience: Build intuitive, high-quality interfaces and tools that improve the way customers and brokers interact with our platform. Improve how we ship: Contribute to internal tooling, frameworks, and engineering workflows that help us deliver faster and with greater confidence. Collaborate cross-functionally: Partner with Product, Design, and other Engineers to design thoughtful, user-centred solutions to complex problems. Maintain high standards: Write clean, well-tested code, contribute to code reviews, and help improve team practices and documentation. Requirements: Must-Haves: Proven product delivery experience: Experience as a Full Stack Engineer in a startup or fast-paced product environment, with ownership of key projects from start to finish. Front- and back-end fluency: Strong experience with Python and/or Node.js, and modern JavaScript frameworks like React. Cloud-native skills: Experience working with AWS services, especially serverless tools like Lambda, API Gateway, and DynamoDB. User-focused mindset: Comfortable turning product and user problems into simple, elegant technical solutions. Team-first approach: Experience working in cross-functional teams where Engineers, Designers, and Product Managers collaborate closely. Desirable: Experience building platforms or tools for brokers, sales partners, or operational teams. Exposure to the energy sector or other regulated industries. Familiarity with real-time data systems or internal workflow automation. Benefits & Perks: Competitive salary - our current band for this role is £81,300 or equivalent in local currency. We review salaries twice a year using real-time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote, distributed across Europe with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co-working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 Mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Engineering Managers (60 Mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 Mins). You'll meet with potential peers in this session and will discuss technical topics and experiences. Culture-Add Interview with Stakeholders (45 Mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
A leading renewable energy firm in the UK is seeking a Staff Data Scientist to optimize pricing and allocation systems using machine learning algorithms. This position focuses on developing in-house solutions to enhance operational efficiency in renewable electricity contracts. Ideal candidates will possess a strong background in optimisation, hands-on experience in ML systems, and the ability to work in complex, novel problem spaces. The role offers a competitive salary of £105,000, flexible working arrangements, and attractive benefits including stock options and wellbeing budgets.
02/02/2026
Full time
A leading renewable energy firm in the UK is seeking a Staff Data Scientist to optimize pricing and allocation systems using machine learning algorithms. This position focuses on developing in-house solutions to enhance operational efficiency in renewable electricity contracts. Ideal candidates will possess a strong background in optimisation, hands-on experience in ML systems, and the ability to work in complex, novel problem spaces. The role offers a competitive salary of £105,000, flexible working arrangements, and attractive benefits including stock options and wellbeing budgets.
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward thinking companies, from Pizza Pilgrims to Silverstone. Backed by top tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: Do you want to work on one of the hardest and most important problems in energy: how to allocate, price, and fulfil renewable electricity contracts efficiently at scale? Energy markets today are opaque, inefficient, and expensive. At tem, we're building the intelligence layer that reduces the cost of transacting electricity and unlocks access to renewables - by owning the core algorithms that sit at the heart of pricing, matching, and risk. We're looking for a Staff Data Scientist to play a key hands on role in developing Rosso, our proprietary pricing and allocation engine, and adjacent optimisation systems such as P442 matching and Red Score logic. This role is focused on first principles modelling, optimisation, and production grade ML systems, with real commercial impact. You'll work on greenfield problems where there is limited precedent, helping bring core optimisation IP fully in house and into production - reducing dependency on third parties and shaping how energy markets operate at scale. Responsibilities Own and build core optimisation systems: Design, implement, and operate ML and optimisation models that power pricing, matching, and allocation within Rosso and related systems, from research through to production. Solve complex applied problems: Develop linear programming and optimisation solutions for batch and near-real time use cases, balancing cost, risk, portfolio constraints, and commercial outcomes. Ship production grade models: Build and maintain end to end ML and optimisation pipelines in the cloud (AWS preferred), ensuring robustness, explainability, and operational reliability. Develop core IP in house: Replace third party logic with high quality internal implementations, iterating quickly as product and market understanding evolves. Collaborate and influence: Work closely with product, engineering, and commercial teams to translate business needs into effective technical solutions, communicating clearly with non technical stakeholders. Raise engineering standards: Contribute to best practices in modelling, experimentation, and code quality, and provide informal mentorship to junior engineers and data scientists. Requirements Must haves Strong optimisation background: experience with linear programming, operations research, or constrained optimisation in real world systems. Hands on ML / data science experience: proven ability to build and ship models that matter. Production mindset: experience designing, deploying, and maintaining cloud based ML or optimisation systems. First principles thinking: comfortable working in ambiguous, greenfield problem spaces. Strong Python skills and experience with the standard data science stack. Commercial awareness: understands how technical decisions translate into business impact. Nice to haves PhD or equivalent experience in applied maths, operations research, or machine learning. Experience with pricing systems, allocation problems, or risk modelling. Familiarity with energy markets, trading, or infrastructure heavy domains. Experience with time series forecasting, Bayesian methods, or causal inference. Exposure to MLOps practices and AWS based data platforms. Benefits & Perks: Competitive salary - our current band for this role is £105,000 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 3 4 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 min). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (90 mins). You'll meet members of the team, and one of our Co Founders, to dig into your technical skills around modelling and machine learning engineering. Culture Add Interview with Stakeholders (45 min). The final session will be with our CEO and CTO, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
02/02/2026
Full time
Who We Are: We're rebuilding the energy transaction system, making it transparent and fair. tem exists to put power back in the hands of people. Today's wholesale energy market is stacked in favour of the few. It's a product of an age of oil and gas, riddled with markups and middlemen. We're changing that. Our product, RED , built on a proprietary pricing engine that bypasses the wholesale market, enables businesses to buy the energy produced by renewable generators directly. That's 100% transparent transactions, ensuring affordable bills and fair compensation, to give every business ownership and control over where their energy comes from. Since launching in 2021, we've saved UK businesses and generators over £20 million, powering a growing network of forward thinking companies, from Pizza Pilgrims to Silverstone. Backed by top tier VCs such as Atomico and Albion, we're creating a new category in energy - one that's local, decentralised, and built on trust. The Role: Do you want to work on one of the hardest and most important problems in energy: how to allocate, price, and fulfil renewable electricity contracts efficiently at scale? Energy markets today are opaque, inefficient, and expensive. At tem, we're building the intelligence layer that reduces the cost of transacting electricity and unlocks access to renewables - by owning the core algorithms that sit at the heart of pricing, matching, and risk. We're looking for a Staff Data Scientist to play a key hands on role in developing Rosso, our proprietary pricing and allocation engine, and adjacent optimisation systems such as P442 matching and Red Score logic. This role is focused on first principles modelling, optimisation, and production grade ML systems, with real commercial impact. You'll work on greenfield problems where there is limited precedent, helping bring core optimisation IP fully in house and into production - reducing dependency on third parties and shaping how energy markets operate at scale. Responsibilities Own and build core optimisation systems: Design, implement, and operate ML and optimisation models that power pricing, matching, and allocation within Rosso and related systems, from research through to production. Solve complex applied problems: Develop linear programming and optimisation solutions for batch and near-real time use cases, balancing cost, risk, portfolio constraints, and commercial outcomes. Ship production grade models: Build and maintain end to end ML and optimisation pipelines in the cloud (AWS preferred), ensuring robustness, explainability, and operational reliability. Develop core IP in house: Replace third party logic with high quality internal implementations, iterating quickly as product and market understanding evolves. Collaborate and influence: Work closely with product, engineering, and commercial teams to translate business needs into effective technical solutions, communicating clearly with non technical stakeholders. Raise engineering standards: Contribute to best practices in modelling, experimentation, and code quality, and provide informal mentorship to junior engineers and data scientists. Requirements Must haves Strong optimisation background: experience with linear programming, operations research, or constrained optimisation in real world systems. Hands on ML / data science experience: proven ability to build and ship models that matter. Production mindset: experience designing, deploying, and maintaining cloud based ML or optimisation systems. First principles thinking: comfortable working in ambiguous, greenfield problem spaces. Strong Python skills and experience with the standard data science stack. Commercial awareness: understands how technical decisions translate into business impact. Nice to haves PhD or equivalent experience in applied maths, operations research, or machine learning. Experience with pricing systems, allocation problems, or risk modelling. Familiarity with energy markets, trading, or infrastructure heavy domains. Experience with time series forecasting, Bayesian methods, or causal inference. Exposure to MLOps practices and AWS based data platforms. Benefits & Perks: Competitive salary - our current band for this role is £105,000 or equivalent in local currency. We review salaries twice a year using real time market data, with transparent, consistent pay for the same role and level. Stock Options - everyone on the team has ownership in our mission. 25 days holiday + public holidays - Swap public holidays for ones that matter most to you. Plus, get an extra day off for your birthday . Remote & flexible working - We're fully remote with clear core hours, and no internal meetings on Friday afternoons. Home working & wellbeing budgets: Up to £1,200 / €1,200 annually to upgrade your remote setup (co working passes, equipment, etc.). Up to £150 / €150 monthly on anything that supports your wellbeing - from therapy to gym memberships to meditation apps. ️ Interview Process: Our processes normally take around 3 4 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 min). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (45 min). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interviews with the Team (90 mins). You'll meet members of the team, and one of our Co Founders, to dig into your technical skills around modelling and machine learning engineering. Culture Add Interview with Stakeholders (45 min). The final session will be with our CEO and CTO, and will explore how your values align with ours, and is designed to be a genuine two way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you're excited about this role but not sure you meet every requirement, we'd still love to hear from you. Your unique perspective could be exactly what we're looking for.
A leading energy technology company is seeking Senior Full Stack Engineers to build vital systems for powering cutting-edge energy technology. The successful candidates will work on core products and platforms, enhancing customer interactions and technical tools. They will join a results-driven team that values ownership and impact, offering a competitive salary, stock options, and flexible remote opportunities. Exceptional candidates will demonstrate strong experience in full-stack development, particularly with Python, Node.js, and AWS services, contributing to the mission to reinvent energy transactions.
02/02/2026
Full time
A leading energy technology company is seeking Senior Full Stack Engineers to build vital systems for powering cutting-edge energy technology. The successful candidates will work on core products and platforms, enhancing customer interactions and technical tools. They will join a results-driven team that values ownership and impact, offering a competitive salary, stock options, and flexible remote opportunities. Exceptional candidates will demonstrate strong experience in full-stack development, particularly with Python, Node.js, and AWS services, contributing to the mission to reinvent energy transactions.